debian-12-5.3+flambda_opam-2.3

2025-05-10 12:34.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (95dddcaeb6be8e792001ef8acd80af8e44d112ac) (linux-x86_64:debian-12-5.3+flambda_opam-2.3)
Base: ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 95dddcae
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4
# debian-12-5.3+flambda_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-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-syntax-shims.1.0.0 ocaml-variants.5.3.0+options 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 12:34.49: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4-debian-12-5.3+flambda_opam-2.3-29e12644e69182daf9ae70f7a520fa4f"
2025-05-10 12:34.49: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4)
(comment debian-12-5.3+flambda_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-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-syntax-shims.1.0.0 ocaml-variants.5.3.0+options 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 12:34.49: Waiting for resource in pool OCluster
2025-05-10 12:34.49: Waiting for worker…
2025-05-10 12:34.57: Got resource from pool OCluster
Building on doris.caelum.ci.dev
All commits already cached
HEAD is now at 95dddcae Don't fail if ocannl_config not found


(from ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4)
Unable to find image 'ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4' locally
docker.io/ocaml/opam@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4: Pulling from ocaml/opam
c523498e3f11: Pulling fs layer
c523498e3f11: Verifying Checksum
c523498e3f11: Download complete
c523498e3f11: Pull complete
Digest: sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4
Status: Downloaded newer image for ocaml/opam@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4
2025-05-10 12:34.58 ---> using "21ca48779d7c8771accdf60eb888012ef48685ba9d539046f9f2e6ce2db9408d" from cache


/: (comment debian-12-5.3+flambda_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 12:34.58 ---> saved as "c3f3aa93c3355a64826565104635ed2c75e43663faf3bb1239283e2d0babab60"


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


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


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


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-10 12:35.30 ---> saved as "292270fbfb1491d8dafae52ea17d8b381a33866b2212919c484f3fdce286b697"


/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
2025-05-10 12:35.30 ---> saved as "3a794d0297d6d3662e91621faf2070f604c02f28ce3386d50957daf0a3b38339"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-10 12:35.31 ---> saved as "ec8f95289b8846ee13cf13cb3aea5f3aff51a6aaee7942d4311969425d84ec7c"


/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 12:36.03 ---> saved as "c309ec47b188db0982617d35dfe4cc79f3c2dc3f97361f0b93f308d21f79c9d1"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-10 12:36.03 ---> saved as "be244f8a3380bc71f65534a5d54d68e651098aee8329481f4cf23a5acc782707"


/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 12:36.06 ---> saved as "2d02731dec00537e8776f1b44a34ea4cf34c5a05940715cf2897d3198a317721"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-10 12:36.07 ---> saved as "d5121293c78a8908b6ded78cf6666ee04b1d0aa43db8000e37d52eb9dcbb2bfe"


/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-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-syntax-shims.1.0.0 ocaml-variants.5.3.0+options 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 amd64 Packages [258 kB]
- Fetched 361 kB in 1s (564 kB/s)
- Reading package lists...
- 


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


[NOTE] Package ocaml-variants is already installed (current version is 5.3.0+options).
[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 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:amd64.
- (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 ... 18778 files and directories currently installed.)
- Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ...
- Unpacking libffi-dev:amd64 (3.4.4-1) ...
- Selecting previously unselected package libpkgconf3:amd64.
- Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ...
- Unpacking libpkgconf3:amd64 (1.8.1-1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ...
- Unpacking pkgconf-bin (1.8.1-1) ...
- Selecting previously unselected package pkgconf:amd64.
- Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ...
- Unpacking pkgconf:amd64 (1.8.1-1) ...
- Selecting previously unselected package pkg-config:amd64.
- Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ...
- Unpacking pkg-config:amd64 (1.8.1-1) ...
- Setting up libffi-dev:amd64 (3.4.4-1) ...
- Setting up libpkgconf3:amd64 (1.8.1-1) ...
- Setting up pkgconf-bin (1.8.1-1) ...
- Setting up pkgconf:amd64 (1.8.1-1) ...
- Setting up pkg-config:amd64 (1.8.1-1) ...
- Processing triggers for libc-bin (2.36-9+deb12u10) ...
2025-05-10 12:36.18 ---> saved as "570350065cf74466ee00722c1e8ac07cd308c490b880e4f620bb44d7fd22ef1f"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-variants is already installed (current version is 5.3.0+options).
[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 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 angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved base.v0.17.2  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> installed conf-pkg-config.4
-> retrieved cppo.1.8.0  (cached)
-> retrieved cmdliner.1.3.0  (cached)
-> retrieved csexp.1.5.2  (cached)
-> installed conf-libffi.2.0.0
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> 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 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)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (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)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> 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 ppx_minidebug.2.2.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (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 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 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 bigarray-compat.1.1.0
-> installed backoff.0.1.1
-> installed csexp.1.5.2
-> installed camlp-streams.5.0.1
-> installed multicore-magic.2.3.1
-> installed cppo.1.8.0
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed re.1.12.0
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-compiler-libs.v0.17.0
-> 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 sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed mdx.2.5.0
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed uucp.16.0.0
-> installed base.v0.17.2
-> installed printbox-text.0.12
-> installed ctypes-foreign.0.23.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed printbox-md.0.12
-> installed stdio.v0.17.0
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_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 12:37.48 ---> saved as "73918fa661fbfa7c3094bba03e158d23fc7152ae7655944c5f063fa96348c0f0"


/src: (copy (src .) (dst /src))
2025-05-10 12:37.49 ---> saved as "bb0c46193f4979743cef1195435b63aca86b52ecf673cc486f4815de93fc1d17"


/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/2abd74a838184a07c78463df3fecbf9f/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/2abd74a838184a07c78463df3fecbf9f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2abd74a838184a07c78463df3fecbf9f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2822ea01be4026e36a28448a03bd401e/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2abd74a838184a07c78463df3fecbf9f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2abd74a838184a07c78463df3fecbf9f/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/2abd74a838184a07c78463df3fecbf9f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2abd74a838184a07c78463df3fecbf9f/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/2abd74a838184a07c78463df3fecbf9f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2abd74a838184a07c78463df3fecbf9f/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/2abd74a838184a07c78463df3fecbf9f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2abd74a838184a07c78463df3fecbf9f/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/2abd74a838184a07c78463df3fecbf9f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2abd74a838184a07c78463df3fecbf9f/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/2abd74a838184a07c78463df3fecbf9f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2abd74a838184a07c78463df3fecbf9f/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/2abd74a838184a07c78463df3fecbf9f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2abd74a838184a07c78463df3fecbf9f/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/2abd74a838184a07c78463df3fecbf9f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2abd74a838184a07c78463df3fecbf9f/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/2abd74a838184a07c78463df3fecbf9f/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 128))))
@!Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248
Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112
Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523
Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236
Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723
Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539
Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053
Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157
Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168
Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420
Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854
Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365
Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593
Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121
Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243
Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563
Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333
Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239
Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610
Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501
Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094
Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074
Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079
Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298
Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203
Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269
Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001
Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056
Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748
Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194
Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213
Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805
Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672
Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851
Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195
Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366
Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287
Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436
Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264
Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319
Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180
Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529
Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820
Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361
Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741
Batch=299, step=6300, lr=0.173750, batch loss=0.203930, epoch loss=1.132671
Batch=359, step=6360, lr=0.173750, batch loss=0.266028, epoch loss=1.398699
Batch=419, step=6420, lr=0.173500, batch loss=0.265345, epoch loss=1.664044
Batch=479, step=6480, lr=0.173250, batch loss=0.243249, epoch loss=1.907293
Batch=539, step=6540, lr=0.172750, batch loss=0.193066, epoch loss=2.100359
Batch=599, step=6600, lr=0.172750, batch loss=0.234324, epoch loss=2.334683
Batch=659, step=6660, lr=0.172250, batch loss=0.312172, epoch loss=2.646854
Batch=719, step=6720, lr=0.172250, batch loss=0.314094, epoch loss=2.960948
Batch=779, step=6780, lr=0.172000, batch loss=0.333381, epoch loss=3.294329
Batch=839, step=6840, lr=0.171750, batch loss=0.303634, epoch loss=3.597963
Batch=899, step=6900, lr=0.171500, batch loss=0.268628, epoch loss=3.866591
Batch=959, step=6960, lr=0.171250, batch loss=0.210740, epoch loss=4.077330
Batch=1019, step=7020, lr=0.170750, batch loss=0.330139, epoch loss=4.407469
Batch=1079, step=7080, lr=0.170750, batch loss=0.180152, epoch loss=4.587621
Batch=1139, step=7140, lr=0.170500, batch loss=0.216225, epoch loss=4.803846
Batch=1199, step=7200, lr=0.170250, batch loss=0.185891, epoch loss=4.989737
Epoch=5, step=7200, lr=0.170250, epoch loss=4.989737
Batch=59, step=7260, lr=0.170000, batch loss=0.232020, epoch loss=0.232020
Batch=119, step=7320, lr=0.169750, batch loss=0.184870, epoch loss=0.416889
Batch=179, step=7380, lr=0.169500, batch loss=0.196655, epoch loss=0.613544
Batch=239, step=7440, lr=0.169250, batch loss=0.291484, epoch loss=0.905028
Batch=299, step=7500, lr=0.169000, batch loss=0.201298, epoch loss=1.106325
Batch=359, step=7560, lr=0.168750, batch loss=0.258202, epoch loss=1.364528
Batch=419, step=7620, lr=0.168500, batch loss=0.257643, epoch loss=1.622170
Batch=479, step=7680, lr=0.168250, batch loss=0.235034, epoch loss=1.857204
Batch=539, step=7740, lr=0.168000, batch loss=0.188927, epoch loss=2.046131
Batch=599, step=7800, lr=0.167750, batch loss=0.222821, epoch loss=2.268953
Batch=659, step=7860, lr=0.167500, batch loss=0.306535, epoch loss=2.575488
Batch=719, step=7920, lr=0.167250, batch loss=0.308371, epoch loss=2.883859
Batch=779, step=7980, lr=0.167000, batch loss=0.326240, epoch loss=3.210099
Batch=839, step=8040, lr=0.166750, batch loss=0.292795, epoch loss=3.502894
Batch=899, step=8100, lr=0.166500, batch loss=0.260310, epoch loss=3.763204
Batch=959, step=8160, lr=0.166250, batch loss=0.200931, epoch loss=3.964135
Batch=1019, step=8220, lr=0.166000, batch loss=0.320417, epoch loss=4.284553
Batch=1079, step=8280, lr=0.165750, batch loss=0.179590, epoch loss=4.464143
Batch=1139, step=8340, lr=0.165500, batch loss=0.210722, epoch loss=4.674865
Batch=1199, step=8400, lr=0.165250, batch loss=0.178837, epoch loss=4.853702
Epoch=6, step=8400, lr=0.165250, epoch loss=4.853702
Batch=59, step=8460, lr=0.165000, batch loss=0.226179, epoch loss=0.226179
Batch=119, step=8520, lr=0.164750, batch loss=0.176538, epoch loss=0.402717
Batch=179, step=8580, lr=0.164500, batch loss=0.188992, epoch loss=0.591709
Batch=239, step=8640, lr=0.164250, batch loss=0.278486, epoch loss=0.870195
Batch=299, step=8700, lr=0.164000, batch loss=0.191419, epoch loss=1.061614
Batch=359, step=8760, lr=0.163750, batch loss=0.248528, epoch loss=1.310142
Batch=419, step=8820, lr=0.163500, batch loss=0.246106, epoch loss=1.556248
Batch=479, step=8880, lr=0.163250, batch loss=0.227960, epoch loss=1.784208
Batch=539, step=8940, lr=0.163000, batch loss=0.178996, epoch loss=1.963204
Batch=599, step=9000, lr=0.162750, batch loss=0.216328, epoch loss=2.179532
Batch=659, step=9060, lr=0.162250, batch loss=0.296209, epoch loss=2.475742
Batch=719, step=9120, lr=0.162250, batch loss=0.297086, epoch loss=2.772827
Batch=779, step=9180, lr=0.162000, batch loss=0.317547, epoch loss=3.090375
Batch=839, step=9240, lr=0.161750, batch loss=0.287460, epoch loss=3.377835
Batch=899, step=9300, lr=0.161500, batch loss=0.251594, epoch loss=3.629429
Batch=959, step=9360, lr=0.161250, batch loss=0.199410, epoch loss=3.828839
Batch=1019, step=9420, lr=0.161000, batch loss=0.306790, epoch loss=4.135630
Batch=1079, step=9480, lr=0.160750, batch loss=0.195742, epoch loss=4.331372
Batch=1139, step=9540, lr=0.160500, batch loss=0.213883, epoch loss=4.545254
Batch=1199, step=9600, lr=0.160250, batch loss=0.167786, epoch loss=4.713041
Epoch=7, step=9600, lr=0.160250, epoch loss=4.713041
Batch=59, step=9660, lr=0.160000, batch loss=0.210217, epoch loss=0.210217
Batch=119, step=9720, lr=0.159750, batch loss=0.171547, epoch loss=0.381765
Batch=179, step=9780, lr=0.159500, batch loss=0.179263, epoch loss=0.561028
Batch=239, step=9840, lr=0.159250, batch loss=0.261448, epoch loss=0.822475
Batch=299, step=9900, lr=0.159000, batch loss=0.184927, epoch loss=1.007402
Batch=359, step=9960, lr=0.158750, batch loss=0.240950, epoch loss=1.248352
Batch=419, step=10020, lr=0.158500, batch loss=0.232299, epoch loss=1.480651
Batch=479, step=10080, lr=0.158250, batch loss=0.214376, epoch loss=1.695028
Batch=539, step=10140, lr=0.158000, batch loss=0.169885, epoch loss=1.864913
Batch=599, step=10200, lr=0.157750, batch loss=0.201410, epoch loss=2.066322
Batch=659, step=10260, lr=0.157500, batch loss=0.282827, epoch loss=2.349149
Batch=719, step=10320, lr=0.157250, batch loss=0.280412, epoch loss=2.629561
Batch=779, step=10380, lr=0.157000, batch loss=0.302048, epoch loss=2.931609
Batch=839, step=10440, lr=0.156750, batch loss=0.270300, epoch loss=3.201908
Batch=899, step=10500, lr=0.156500, batch loss=0.241371, epoch loss=3.443280
Batch=959, step=10560, lr=0.156250, batch loss=0.199042, epoch loss=3.642322
Batch=1019, step=10620, lr=0.156000, batch loss=0.291092, epoch loss=3.933414
Batch=1079, step=10680, lr=0.155750, batch loss=0.181008, epoch loss=4.114423
Batch=1139, step=10740, lr=0.155500, batch loss=0.204161, epoch loss=4.318584
Batch=1199, step=10800, lr=0.155250, batch loss=0.155476, epoch loss=4.474059
Epoch=8, step=10800, lr=0.155250, epoch loss=4.474059
Batch=59, step=10860, lr=0.155000, batch loss=0.176873, epoch loss=0.176873
Batch=119, step=10920, lr=0.154750, batch loss=0.151666, epoch loss=0.328539
Batch=179, step=10980, lr=0.154500, batch loss=0.167187, epoch loss=0.495725
Batch=239, step=11040, lr=0.154250, batch loss=0.250558, epoch loss=0.746283
Batch=299, step=11100, lr=0.154000, batch loss=0.161621, epoch loss=0.907904
Batch=359, step=11160, lr=0.153750, batch loss=0.215164, epoch loss=1.123068
Batch=419, step=11220, lr=0.153500, batch loss=0.218853, epoch loss=1.341921
Batch=479, step=11280, lr=0.153250, batch loss=0.211560, epoch loss=1.553481
Batch=539, step=11340, lr=0.153000, batch loss=0.162180, epoch loss=1.715661
Batch=599, step=11400, lr=0.152750, batch loss=0.177204, epoch loss=1.892865
Batch=659, step=11460, lr=0.152500, batch loss=0.267022, epoch loss=2.159887
Batch=719, step=11520, lr=0.152250, batch loss=0.263321, epoch loss=2.423208
Batch=779, step=11580, lr=0.152000, batch loss=0.274039, epoch loss=2.697247
Batch=839, step=11640, lr=0.151750, batch loss=0.250000, epoch loss=2.947247
Batch=899, step=11700, lr=0.151500, batch loss=0.221599, epoch loss=3.168846
Batch=959, step=11760, lr=0.151250, batch loss=0.184088, epoch loss=3.352934
Batch=1019, step=11820, lr=0.151000, batch loss=0.293362, epoch loss=3.646296
Batch=1079, step=11880, lr=0.150750, batch loss=0.142027, epoch loss=3.788322
Batch=1139, step=11940, lr=0.150500, batch loss=0.182939, epoch loss=3.971261
Batch=1199, step=12000, lr=0.150250, batch loss=0.139892, epoch loss=4.111153
Epoch=9, step=12000, lr=0.150250, epoch loss=4.111153
Batch=59, step=12060, lr=0.150000, batch loss=0.159059, epoch loss=0.159059
Batch=119, step=12120, lr=0.149750, batch loss=0.128277, epoch loss=0.287336
Batch=179, step=12180, lr=0.149500, batch loss=0.153017, epoch loss=0.440353
Batch=239, step=12240, lr=0.149250, batch loss=0.221858, epoch loss=0.662210
Batch=299, step=12300, lr=0.149000, batch loss=0.144238, epoch loss=0.806449
Batch=359, step=12360, lr=0.148750, batch loss=0.194965, epoch loss=1.001413
Batch=419, step=12420, lr=0.148500, batch loss=0.207991, epoch loss=1.209404
Batch=479, step=12480, lr=0.148250, batch loss=0.177302, epoch loss=1.386706
Batch=539, step=12540, lr=0.148000, batch loss=0.143385, epoch loss=1.530092
Batch=599, step=12600, lr=0.147750, batch loss=0.150259, epoch loss=1.680351
Batch=659, step=12660, lr=0.147500, batch loss=0.226429, epoch loss=1.906780
Batch=719, step=12720, lr=0.147250, batch loss=0.232098, epoch loss=2.138877
Batch=779, step=12780, lr=0.147000, batch loss=0.254361, epoch loss=2.393238
Batch=839, step=12840, lr=0.146750, batch loss=0.225898, epoch loss=2.619136
Batch=899, step=12900, lr=0.146500, batch loss=0.184910, epoch loss=2.804046
Batch=959, step=12960, lr=0.146250, batch loss=0.144065, epoch loss=2.948111
Batch=1019, step=13020, lr=0.146000, batch loss=0.241890, epoch loss=3.190001
Batch=1079, step=13080, lr=0.145750, batch loss=0.109374, epoch loss=3.299375
Batch=1139, step=13140, lr=0.145500, batch loss=0.149289, epoch loss=3.448664
Batch=1199, step=13200, lr=0.145250, batch loss=0.116495, epoch loss=3.565159
Epoch=10, step=13200, lr=0.145250, epoch loss=3.565159
Batch=59, step=13260, lr=0.145000, batch loss=0.139134, epoch loss=0.139134
Batch=119, step=13320, lr=0.144750, batch loss=0.122274, epoch loss=0.261408
Batch=179, step=13380, lr=0.144500, batch loss=0.128956, epoch loss=0.390364
Batch=239, step=13440, lr=0.144250, batch loss=0.194911, epoch loss=0.585274
Batch=299, step=13500, lr=0.144000, batch loss=0.121608, epoch loss=0.706882
Batch=359, step=13560, lr=0.143750, batch loss=0.162574, epoch loss=0.869456
Batch=419, step=13620, lr=0.143500, batch loss=0.162445, epoch loss=1.031901
Batch=479, step=13680, lr=0.143250, batch loss=0.144846, epoch loss=1.176747
Batch=539, step=13740, lr=0.143000, batch loss=0.119293, epoch loss=1.296040
Batch=599, step=13800, lr=0.142750, batch loss=0.119299, epoch loss=1.415339
Batch=659, step=13860, lr=0.142500, batch loss=0.177018, epoch loss=1.592357
Batch=719, step=13920, lr=0.142250, batch loss=0.176080, epoch loss=1.768438
Batch=779, step=13980, lr=0.142000, batch loss=0.199008, epoch loss=1.967446
Batch=839, step=14040, lr=0.141750, batch loss=0.187437, epoch loss=2.154883
Batch=899, step=14100, lr=0.141500, batch loss=0.157046, epoch loss=2.311930
Batch=959, step=14160, lr=0.141250, batch loss=0.131994, epoch loss=2.443924
Batch=1019, step=14220, lr=0.141000, batch loss=0.269368, epoch loss=2.713292
Batch=1079, step=14280, lr=0.140750, batch loss=0.080100, epoch loss=2.793392
Batch=1139, step=14340, lr=0.140500, batch loss=0.119632, epoch loss=2.913024
Batch=1199, step=14400, lr=0.140250, batch loss=0.087478, epoch loss=3.000502
Epoch=11, step=14400, lr=0.140250, epoch loss=3.000502
Batch=59, step=14460, lr=0.140000, batch loss=0.114269, epoch loss=0.114269
Batch=119, step=14520, lr=0.139750, batch loss=0.108682, epoch loss=0.222951
Batch=179, step=14580, lr=0.139500, batch loss=0.102844, epoch loss=0.325794
Batch=239, step=14640, lr=0.139250, batch loss=0.137900, epoch loss=0.463695
Batch=299, step=14700, lr=0.139000, batch loss=0.079739, epoch loss=0.543433
Batch=359, step=14760, lr=0.138750, batch loss=0.119897, epoch loss=0.663331
Batch=419, step=14820, lr=0.138500, batch loss=0.130255, epoch loss=0.793586
Batch=479, step=14880, lr=0.138250, batch loss=0.099053, epoch loss=0.892638
Batch=539, step=14940, lr=0.138000, batch loss=0.098898, epoch loss=0.991536
Batch=599, step=15000, lr=0.137750, batch loss=0.083037, epoch loss=1.074573
Batch=659, step=15060, lr=0.137500, batch loss=0.125053, epoch loss=1.199626
Batch=719, step=15120, lr=0.137250, batch loss=0.121899, epoch loss=1.321525
Batch=779, step=15180, lr=0.137000, batch loss=0.123916, epoch loss=1.445441
Batch=839, step=15240, lr=0.136750, batch loss=0.156727, epoch loss=1.602168
Batch=899, step=15300, lr=0.136500, batch loss=0.274949, epoch loss=1.877118
Batch=959, step=15360, lr=0.136250, batch loss=0.065724, epoch loss=1.942841
Batch=1019, step=15420, lr=0.136000, batch loss=0.154767, epoch loss=2.097608
Batch=1079, step=15480, lr=0.135750, batch loss=0.045165, epoch loss=2.142773
Batch=1139, step=15540, lr=0.135500, batch loss=0.101561, epoch loss=2.244334
Batch=1199, step=15600, lr=0.135250, batch loss=0.061030, epoch loss=2.305364
Epoch=12, step=15600, lr=0.135250, epoch loss=2.305364
Batch=59, step=15660, lr=0.135000, batch loss=0.075817, epoch loss=0.075817
Batch=119, step=15720, lr=0.134750, batch loss=0.119828, epoch loss=0.195645
Batch=179, step=15780, lr=0.134500, batch loss=0.091496, epoch loss=0.287140
Batch=239, step=15840, lr=0.134250, batch loss=0.094049, epoch loss=0.381190
Batch=299, step=15900, lr=0.134000, batch loss=0.037189, epoch loss=0.418379
Batch=359, step=15960, lr=0.133750, batch loss=0.083829, epoch loss=0.502208
Batch=419, step=16020, lr=0.133500, batch loss=0.076338, epoch loss=0.578546
Batch=479, step=16080, lr=0.133250, batch loss=0.053248, epoch loss=0.631795
Batch=539, step=16140, lr=0.133000, batch loss=0.074769, epoch loss=0.706564
Batch=599, step=16200, lr=0.132750, batch loss=0.171750, epoch loss=0.878313
Batch=659, step=16260, lr=0.132500, batch loss=0.098848, epoch loss=0.977162
Batch=719, step=16320, lr=0.132250, batch loss=0.116123, epoch loss=1.093285
Batch=779, step=16380, lr=0.132000, batch loss=0.260469, epoch loss=1.353754
Batch=839, step=16440, lr=0.131750, batch loss=0.088300, epoch loss=1.442054
Batch=899, step=16500, lr=0.131500, batch loss=0.075597, epoch loss=1.517650
Batch=959, step=16560, lr=0.131250, batch loss=0.030699, epoch loss=1.548350
Batch=1019, step=16620, lr=0.131000, batch loss=0.065878, epoch loss=1.614227
Batch=1079, step=16680, lr=0.130750, batch loss=0.044417, epoch loss=1.658644
Batch=1139, step=16740, lr=0.130500, batch loss=0.074963, epoch loss=1.733607
Batch=1199, step=16800, lr=0.130250, batch loss=0.034199, epoch loss=1.767806
Epoch=13, step=16800, lr=0.130250, epoch loss=1.767806
Batch=59, step=16860, lr=0.130000, batch loss=0.032324, epoch loss=0.032324
Batch=119, step=16920, lr=0.129750, batch loss=0.035565, epoch loss=0.067889
Batch=179, step=16980, lr=0.129500, batch loss=0.041776, epoch loss=0.109665
Batch=239, step=17040, lr=0.129250, batch loss=0.058336, epoch loss=0.168000
Batch=299, step=17100, lr=0.129000, batch loss=0.025423, epoch loss=0.193423
Batch=359, step=17160, lr=0.128750, batch loss=0.052082, epoch loss=0.245505
Batch=419, step=17220, lr=0.128500, batch loss=0.098145, epoch loss=0.343650
Batch=479, step=17280, lr=0.128250, batch loss=0.022271, epoch loss=0.365921
Batch=539, step=17340, lr=0.128000, batch loss=0.029391, epoch loss=0.395312
Batch=599, step=17400, lr=0.127750, batch loss=0.044659, epoch loss=0.439971
Batch=659, step=17460, lr=0.127500, batch loss=0.049063, epoch loss=0.489034
Batch=719, step=17520, lr=0.127250, batch loss=0.050596, epoch loss=0.539630
Batch=779, step=17580, lr=0.127000, batch loss=0.067307, epoch loss=0.606937
Batch=839, step=17640, lr=0.126750, batch loss=0.095227, epoch loss=0.702164
Batch=899, step=17700, lr=0.126500, batch loss=0.050727, epoch loss=0.752891
Batch=959, step=17760, lr=0.126250, batch loss=0.018594, epoch loss=0.771485
Batch=1019, step=17820, lr=0.126000, batch loss=0.028012, epoch loss=0.799497
Batch=1079, step=17880, lr=0.125750, batch loss=0.019509, epoch loss=0.819006
Batch=1139, step=17940, lr=0.125500, batch loss=0.044060, epoch loss=0.863066
Batch=1199, step=18000, lr=0.125250, batch loss=0.015715, epoch loss=0.878781
Epoch=14, step=18000, lr=0.125250, epoch loss=0.878781
Batch=59, step=18060, lr=0.125000, batch loss=0.014083, epoch loss=0.014083
Batch=119, step=18120, lr=0.124750, batch loss=0.025776, epoch loss=0.039859
Batch=179, step=18180, lr=0.124500, batch loss=0.029198, epoch loss=0.069057
Batch=239, step=18240, lr=0.124250, batch loss=0.033299, epoch loss=0.102357
Batch=299, step=18300, lr=0.124000, batch loss=0.009085, epoch loss=0.111442
Batch=359, step=18360, lr=0.123750, batch loss=0.024541, epoch loss=0.135983
Batch=419, step=18420, lr=0.123500, batch loss=0.028461, epoch loss=0.164444
Batch=479, step=18480, lr=0.123250, batch loss=0.013599, epoch loss=0.178043
Batch=539, step=18540, lr=0.123000, batch loss=0.021370, epoch loss=0.199413
Batch=599, step=18600, lr=0.122750, batch loss=0.030675, epoch loss=0.230089
Batch=659, step=18660, lr=0.122500, batch loss=0.028871, epoch loss=0.258960
Batch=719, step=18720, lr=0.122250, batch loss=0.049953, epoch loss=0.308913
Batch=779, step=18780, lr=0.122000, batch loss=0.111877, epoch loss=0.420791
Batch=839, step=18840, lr=0.121750, batch loss=0.067000, epoch loss=0.487791
Batch=899, step=18900, lr=0.121500, batch loss=0.081380, epoch loss=0.569170
Batch=959, step=18960, lr=0.121250, batch loss=0.013520, epoch loss=0.582691
Batch=1019, step=19020, lr=0.121000, batch loss=0.024914, epoch loss=0.607604
Batch=1079, step=19080, lr=0.120750, batch loss=0.010401, epoch loss=0.618006
Batch=1139, step=19140, lr=0.120500, batch loss=0.023145, epoch loss=0.641150
Batch=1199, step=19200, lr=0.120250, batch loss=0.009901, epoch loss=0.651052
Epoch=15, step=19200, lr=0.120250, epoch loss=0.651052
Batch=59, step=19260, lr=0.120000, batch loss=0.004317, epoch loss=0.004317
Batch=119, step=19320, lr=0.119750, batch loss=0.012836, epoch loss=0.017153
Batch=179, step=19380, lr=0.119500, batch loss=0.032541, epoch loss=0.049694
Batch=239, step=19440, lr=0.119250, batch loss=0.022255, epoch loss=0.071949
Batch=299, step=19500, lr=0.119000, batch loss=0.005974, epoch loss=0.077923
Batch=359, step=19560, lr=0.118750, batch loss=0.016799, epoch loss=0.094722
Batch=419, step=19620, lr=0.118500, batch loss=0.019653, epoch loss=0.114375
Batch=479, step=19680, lr=0.118250, batch loss=0.008666, epoch loss=0.123041
Batch=539, step=19740, lr=0.118000, batch loss=0.019269, epoch loss=0.142310
Batch=599, step=19800, lr=0.117750, batch loss=0.021284, epoch loss=0.163594
Batch=659, step=19860, lr=0.117500, batch loss=0.019727, epoch loss=0.183320
Batch=719, step=19920, lr=0.117250, batch loss=0.029623, epoch loss=0.212943
Batch=779, step=19980, lr=0.117000, batch loss=0.062634, epoch loss=0.275577
Batch=839, step=20040, lr=0.116750, batch loss=0.032276, epoch loss=0.307854
Batch=899, step=20100, lr=0.116500, batch loss=0.037500, epoch loss=0.345354
Batch=959, step=20160, lr=0.116250, batch loss=0.013549, epoch loss=0.358904
Batch=1019, step=20220, lr=0.116000, batch loss=0.014241, epoch loss=0.373145
Batch=1079, step=20280, lr=0.115750, batch loss=0.004078, epoch loss=0.377223
Batch=1139, step=20340, lr=0.115500, batch loss=0.016182, epoch loss=0.393405
Batch=1199, step=20400, lr=0.115250, batch loss=0.005691, epoch loss=0.399096
Epoch=16, step=20400, lr=0.115250, epoch loss=0.399096
Batch=59, step=20460, lr=0.115000, batch loss=0.002948, epoch loss=0.002948
Batch=119, step=20520, lr=0.114750, batch loss=0.012947, epoch loss=0.015895
Batch=179, step=20580, lr=0.114500, batch loss=0.028623, epoch loss=0.044518
Batch=239, step=20640, lr=0.114000, batch loss=0.014060, epoch loss=0.058578
Batch=299, step=20700, lr=0.114000, batch loss=0.008751, epoch loss=0.067328
Batch=359, step=20760, lr=0.113750, batch loss=0.019944, epoch loss=0.087272
Batch=419, step=20820, lr=0.113500, batch loss=0.016403, epoch loss=0.103675
Batch=479, step=20880, lr=0.113250, batch loss=0.004666, epoch loss=0.108341
Batch=539, step=20940, lr=0.113000, batch loss=0.024652, epoch loss=0.132993
Batch=599, step=21000, lr=0.112750, batch loss=0.024145, epoch loss=0.157138
Batch=659, step=21060, lr=0.112500, batch loss=0.013868, epoch loss=0.171006
Batch=719, step=21120, lr=0.112250, batch loss=0.024105, epoch loss=0.195111
Batch=779, step=21180, lr=0.112000, batch loss=0.047693, epoch loss=0.242804
Batch=839, step=21240, lr=0.111500, batch loss=0.027110, epoch loss=0.269914
Batch=899, step=21300, lr=0.111500, batch loss=0.025874, epoch loss=0.295788
Batch=959, step=21360, lr=0.111250, batch loss=0.014503, epoch loss=0.310291
Batch=1019, step=21420, lr=0.111000, batch loss=0.014292, epoch loss=0.324583
Batch=1079, step=21480, lr=0.110750, batch loss=0.002034, epoch loss=0.326617
Batch=1139, step=21540, lr=0.110250, batch loss=0.012678, epoch loss=0.339295
Batch=1199, step=21600, lr=0.110250, batch loss=0.004916, epoch loss=0.344210
Epoch=17, step=21600, lr=0.110250, epoch loss=0.344210
Batch=59, step=21660, lr=0.110000, batch loss=0.002664, epoch loss=0.002664
Batch=119, step=21720, lr=0.109750, batch loss=0.007349, epoch loss=0.010013
Batch=179, step=21780, lr=0.109500, batch loss=0.012150, epoch loss=0.022163
Batch=239, step=21840, lr=0.109250, batch loss=0.009413, epoch loss=0.031576
Batch=299, step=21900, lr=0.108750, batch loss=0.005906, epoch loss=0.037481
Batch=359, step=21960, lr=0.108750, batch loss=0.013107, epoch loss=0.050588
Batch=419, step=22020, lr=0.108500, batch loss=0.012365, epoch loss=0.062953
Batch=479, step=22080, lr=0.108250, batch loss=0.004117, epoch loss=0.067070
Batch=539, step=22140, lr=0.108000, batch loss=0.015152, epoch loss=0.082223
Batch=599, step=22200, lr=0.107750, batch loss=0.016023, epoch loss=0.098246
Batch=659, step=22260, lr=0.107500, batch loss=0.013643, epoch loss=0.111888
Batch=719, step=22320, lr=0.107250, batch loss=0.030487, epoch loss=0.142376
Batch=779, step=22380, lr=0.107000, batch loss=0.041439, epoch loss=0.183814
Batch=839, step=22440, lr=0.106750, batch loss=0.021086, epoch loss=0.204900
Batch=899, step=22500, lr=0.106500, batch loss=0.021952, epoch loss=0.226853
Batch=959, step=22560, lr=0.106250, batch loss=0.010660, epoch loss=0.237513
Batch=1019, step=22620, lr=0.106000, batch loss=0.009480, epoch loss=0.246993
Batch=1079, step=22680, lr=0.105750, batch loss=0.001006, epoch loss=0.247998
Batch=1139, step=22740, lr=0.105500, batch loss=0.011081, epoch loss=0.259079
Batch=1199, step=22800, lr=0.105250, batch loss=0.004382, epoch loss=0.263461
Epoch=18, step=22800, lr=0.105250, epoch loss=0.263461
Batch=59, step=22860, lr=0.105000, batch loss=0.001387, epoch loss=0.001387
Batch=119, step=22920, lr=0.104750, batch loss=0.005346, epoch loss=0.006733
Batch=179, step=22980, lr=0.104500, batch loss=0.010412, epoch loss=0.017145
Batch=239, step=23040, lr=0.104250, batch loss=0.009707, epoch loss=0.026852
Batch=299, step=23100, lr=0.104000, batch loss=0.011318, epoch loss=0.038170
Batch=359, step=23160, lr=0.103750, batch loss=0.011435, epoch loss=0.049605
Batch=419, step=23220, lr=0.103500, batch loss=0.010515, epoch loss=0.060120
Batch=479, step=23280, lr=0.103250, batch loss=0.002356, epoch loss=0.062476
Batch=539, step=23340, lr=0.103000, batch loss=0.016607, epoch loss=0.079082
Batch=599, step=23400, lr=0.102750, batch loss=0.013594, epoch loss=0.092676
Batch=659, step=23460, lr=0.102500, batch loss=0.012078, epoch loss=0.104754
Batch=719, step=23520, lr=0.102250, batch loss=0.016473, epoch loss=0.121226
Batch=779, step=23580, lr=0.102000, batch loss=0.018993, epoch loss=0.140220
Batch=839, step=23640, lr=0.101750, batch loss=0.027570, epoch loss=0.167790
Batch=899, step=23700, lr=0.101500, batch loss=0.021551, epoch loss=0.189341
Batch=959, step=23760, lr=0.101250, batch loss=0.010089, epoch loss=0.199431
Batch=1019, step=23820, lr=0.101000, batch loss=0.007123, epoch loss=0.206553
Batch=1079, step=23880, lr=0.100750, batch loss=0.001244, epoch loss=0.207798
Batch=1139, step=23940, lr=0.100500, batch loss=0.008341, epoch loss=0.216139
Batch=1199, step=24000, lr=0.100250, batch loss=0.004705, epoch loss=0.220843
Epoch=19, step=24000, lr=0.100250, epoch loss=0.220843


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-10 12:38.11 ---> saved as "d99ad0484c5f6615c1a16e7d648e7a3f77ce2f7059267c7c0916d54cc96849f0"
Job succeeded
2025-05-10 12:38.12: Job succeeded