Organisationsahrefsocannl95dddc ()debian-12-5.2_opam-2.3

debian-12-5.2_opam-2.3

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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-12-5.2_opam-2.3)
Base: ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1
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-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1
# debian-12-5.2_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-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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 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-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1-debian-12-5.2_opam-2.3-9f91c19b9fbd6f2838f4b018cdbeb8f7"
2025-05-10 12:34.49: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1)
(comment debian-12-5.2_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-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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 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 12:34.58: 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-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1)
2025-05-10 12:34.58 ---> using "1e66ecc7d7e61d810d21a4f5e44a79cf3d0085d03dd619e291339b82babc9396" from cache


/: (comment debian-12-5.2_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 ---> using "dc0b666cc75679ae6a49153c6cbce93c4a467ab554efc4453ae4710a80807e28" from cache


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


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


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


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-10 12:34.58 ---> using "dd0dd0c6c175495539e514d9b8eb3a5c8c54df3004aef3012bd9510a35431074" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.2.1
2.3.0
2025-05-10 12:34.58 ---> using "3ab7534e5b9733c11b41c4a00cfa1a9f054f7c2390c67eacee2774d0b967827f" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-10 12:34.58 ---> using "adad71f7be3674bb64006589356cef212f5b208a9e2ccf9dafdea469a7383c30" 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
34a3fc46c3..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 12:34.58 ---> using "8fae668f01201e0c07b781e1807b1c0f80497b917ca0e866a96102198ec7eecc" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-10 12:34.58 ---> using "23d5d5664eb0e6e4a48faa163d9ccc721714e8f017b53c6c635103b94ce60f4f" from cache


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-05-10 12:34.58 ---> using "8df7702fb086be62ae954ec1a985202e92bd037ce66cf910a55064728bcc5293" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-10 12:34.58 ---> using "ecfa981dcd51b630d683cc9b525162117e4fcf72206c4b78acce5dac78e06699" from cache


/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-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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 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 (428 kB/s)
- Reading package lists...
- 


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


[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1).
[NOTE] Package ocaml is already installed (current version is 5.2.1).
[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-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 12:34.58 ---> using "305e47f47332a99e2873bb57c794f848e64aaec3b371bae8cbdd7046842a6ea6" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1).
[NOTE] Package ocaml is already installed (current version is 5.2.1).
[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-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             v0.17.0
- 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)
-> 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 multicore-magic.2.3.1  (cached)
-> retrieved mdx.2.5.0  (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 ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> 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 ppx_minidebug.2.2.0  (cached)
-> retrieved ppxlib_jane.v0.17.0  (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 csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed camlp-streams.5.0.1
-> installed cppo.1.8.0
-> installed multicore-magic.2.3.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> 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 dune-configurator.3.18.2
-> installed parsexp.v0.17.0
-> 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 uucp.16.0.0
-> installed printbox-text.0.12
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.0
-> installed printbox-md.0.12
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed printbox-ext-plot.0.12
-> 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 12:34.58 ---> using "66da72b55e9aad2a6931281664de7c132dd44120de531305757e1aa3f798fef3" from cache


/src: (copy (src .) (dst /src))
2025-05-10 12:34.59 ---> saved as "20c90e41f7b87d7f0395b4dda809355047faab4db791a2a61043bdfc63f12d0b"


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/56f021b42dda63733be73c1a494e7c61/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/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=0.178750, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271089, epoch loss=1.408952
Batch=419, step=5220, lr=0.178500, batch loss=0.264069, epoch loss=1.673020
Batch=479, step=5280, lr=0.178250, batch loss=0.239664, epoch loss=1.912684
Batch=539, step=5340, lr=0.178000, batch loss=0.189504, epoch loss=2.102189
Batch=599, step=5400, lr=0.177750, batch loss=0.230944, epoch loss=2.333132
Batch=659, step=5460, lr=0.177500, batch loss=0.323641, epoch loss=2.656773
Batch=719, step=5520, lr=0.177250, batch loss=0.325801, epoch loss=2.982574
Batch=779, step=5580, lr=0.177000, batch loss=0.343238, epoch loss=3.325812
Batch=839, step=5640, lr=0.176750, batch loss=0.309297, epoch loss=3.635108
Batch=899, step=5700, lr=0.176500, batch loss=0.273232, epoch loss=3.908340
Batch=959, step=5760, lr=0.176250, batch loss=0.214812, epoch loss=4.123152
Batch=1019, step=5820, lr=0.176000, batch loss=0.339309, epoch loss=4.462461
Batch=1079, step=5880, lr=0.175750, batch loss=0.207724, epoch loss=4.670186
Batch=1139, step=5940, lr=0.175500, batch loss=0.240063, epoch loss=4.910249
Batch=1199, step=6000, lr=0.175250, batch loss=0.186874, epoch loss=5.097122
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097122
Batch=59, step=6060, lr=0.175000, batch loss=0.230504, epoch loss=0.230504
Batch=119, step=6120, lr=0.174750, batch loss=0.194324, epoch loss=0.424829
Batch=179, step=6180, lr=0.174500, batch loss=0.201545, epoch loss=0.626374
Batch=239, step=6240, lr=0.174250, batch loss=0.302360, epoch loss=0.928734
Batch=299, step=6300, lr=0.174000, batch loss=0.203967, epoch loss=1.132702
Batch=359, step=6360, lr=0.173750, batch loss=0.266082, epoch loss=1.398784
Batch=419, step=6420, lr=0.173500, batch loss=0.265307, epoch loss=1.664091
Batch=479, step=6480, lr=0.173250, batch loss=0.243305, epoch loss=1.907395
Batch=539, step=6540, lr=0.173000, batch loss=0.192998, epoch loss=2.100393
Batch=599, step=6600, lr=0.172750, batch loss=0.234480, epoch loss=2.334873
Batch=659, step=6660, lr=0.172500, batch loss=0.312116, epoch loss=2.646988
Batch=719, step=6720, lr=0.172250, batch loss=0.314214, epoch loss=2.961203
Batch=779, step=6780, lr=0.172000, batch loss=0.333237, epoch loss=3.294439
Batch=839, step=6840, lr=0.171750, batch loss=0.303746, epoch loss=3.598185
Batch=899, step=6900, lr=0.171500, batch loss=0.268488, epoch loss=3.866673
Batch=959, step=6960, lr=0.171250, batch loss=0.211015, epoch loss=4.077688
Batch=1019, step=7020, lr=0.171000, batch loss=0.329767, epoch loss=4.407455
Batch=1079, step=7080, lr=0.170750, batch loss=0.180629, epoch loss=4.588084
Batch=1139, step=7140, lr=0.170500, batch loss=0.216093, epoch loss=4.804177
Batch=1199, step=7200, lr=0.170250, batch loss=0.185678, epoch loss=4.989855
Epoch=5, step=7200, lr=0.170250, epoch loss=4.989855
Batch=59, step=7260, lr=0.170000, batch loss=0.232492, epoch loss=0.232492
Batch=119, step=7320, lr=0.169750, batch loss=0.184626, epoch loss=0.417118
Batch=179, step=7380, lr=0.169500, batch loss=0.196609, epoch loss=0.613727
Batch=239, step=7440, lr=0.169250, batch loss=0.291687, epoch loss=0.905414
Batch=299, step=7500, lr=0.169000, batch loss=0.200874, epoch loss=1.106288
Batch=359, step=7560, lr=0.168750, batch loss=0.258561, epoch loss=1.364848
Batch=419, step=7620, lr=0.168500, batch loss=0.257357, epoch loss=1.622205
Batch=479, step=7680, lr=0.168250, batch loss=0.235375, epoch loss=1.857580
Batch=539, step=7740, lr=0.168000, batch loss=0.188533, epoch loss=2.046113
Batch=599, step=7800, lr=0.167750, batch loss=0.223235, epoch loss=2.269348
Batch=659, step=7860, lr=0.167500, batch loss=0.306292, epoch loss=2.575641
Batch=719, step=7920, lr=0.167250, batch loss=0.308719, epoch loss=2.884359
Batch=779, step=7980, lr=0.167000, batch loss=0.330614, epoch loss=3.214973
Batch=839, step=8040, lr=0.166750, batch loss=0.292025, epoch loss=3.506997
Batch=899, step=8100, lr=0.166500, batch loss=0.262276, epoch loss=3.769274
Batch=959, step=8160, lr=0.166250, batch loss=0.192443, epoch loss=3.961717
Batch=1019, step=8220, lr=0.166000, batch loss=0.291185, epoch loss=4.252902
Batch=1079, step=8280, lr=0.165750, batch loss=0.184272, epoch loss=4.437174
Batch=1139, step=8340, lr=0.165500, batch loss=0.216320, epoch loss=4.653494
Batch=1199, step=8400, lr=0.165250, batch loss=0.172778, epoch loss=4.826272
Epoch=6, step=8400, lr=0.165250, epoch loss=4.826272
Batch=59, step=8460, lr=0.165000, batch loss=0.212011, epoch loss=0.212011
Batch=119, step=8520, lr=0.164750, batch loss=0.177974, epoch loss=0.389985
Batch=179, step=8580, lr=0.164500, batch loss=0.188659, epoch loss=0.578644
Batch=239, step=8640, lr=0.164250, batch loss=0.278198, epoch loss=0.856843
Batch=299, step=8700, lr=0.164000, batch loss=0.193590, epoch loss=1.050433
Batch=359, step=8760, lr=0.163750, batch loss=0.247287, epoch loss=1.297720
Batch=419, step=8820, lr=0.163500, batch loss=0.245220, epoch loss=1.542940
Batch=479, step=8880, lr=0.163250, batch loss=0.229315, epoch loss=1.772254
Batch=539, step=8940, lr=0.163000, batch loss=0.177507, epoch loss=1.949762
Batch=599, step=9000, lr=0.162750, batch loss=0.217620, epoch loss=2.167381
Batch=659, step=9060, lr=0.162500, batch loss=0.294968, epoch loss=2.462350
Batch=719, step=9120, lr=0.162250, batch loss=0.299589, epoch loss=2.761939
Batch=779, step=9180, lr=0.162000, batch loss=0.316372, epoch loss=3.078311
Batch=839, step=9240, lr=0.161750, batch loss=0.282036, epoch loss=3.360347
Batch=899, step=9300, lr=0.161500, batch loss=0.250604, epoch loss=3.610951
Batch=959, step=9360, lr=0.161250, batch loss=0.198190, epoch loss=3.809141
Batch=1019, step=9420, lr=0.161000, batch loss=0.307229, epoch loss=4.116370
Batch=1079, step=9480, lr=0.160750, batch loss=0.197083, epoch loss=4.313454
Batch=1139, step=9540, lr=0.160500, batch loss=0.213348, epoch loss=4.526802
Batch=1199, step=9600, lr=0.160250, batch loss=0.167158, epoch loss=4.693960
Epoch=7, step=9600, lr=0.160250, epoch loss=4.693960
Batch=59, step=9660, lr=0.160000, batch loss=0.200975, epoch loss=0.200975
Batch=119, step=9720, lr=0.159750, batch loss=0.164876, epoch loss=0.365851
Batch=179, step=9780, lr=0.159500, batch loss=0.178461, epoch loss=0.544312
Batch=239, step=9840, lr=0.159250, batch loss=0.262487, epoch loss=0.806800
Batch=299, step=9900, lr=0.159000, batch loss=0.181482, epoch loss=0.988281
Batch=359, step=9960, lr=0.158750, batch loss=0.241041, epoch loss=1.229323
Batch=419, step=10020, lr=0.158500, batch loss=0.233490, epoch loss=1.462812
Batch=479, step=10080, lr=0.158250, batch loss=0.213437, epoch loss=1.676250
Batch=539, step=10140, lr=0.158000, batch loss=0.172224, epoch loss=1.848474
Batch=599, step=10200, lr=0.157750, batch loss=0.200961, epoch loss=2.049434
Batch=659, step=10260, lr=0.157500, batch loss=0.281312, epoch loss=2.330746
Batch=719, step=10320, lr=0.157250, batch loss=0.286121, epoch loss=2.616867
Batch=779, step=10380, lr=0.157000, batch loss=0.294796, epoch loss=2.911663
Batch=839, step=10440, lr=0.156750, batch loss=0.266074, epoch loss=3.177736
Batch=899, step=10500, lr=0.156500, batch loss=0.244201, epoch loss=3.421937
Batch=959, step=10560, lr=0.156250, batch loss=0.197611, epoch loss=3.619549
Batch=1019, step=10620, lr=0.156000, batch loss=0.279695, epoch loss=3.899244
Batch=1079, step=10680, lr=0.155750, batch loss=0.167749, epoch loss=4.066993
Batch=1139, step=10740, lr=0.155500, batch loss=0.199727, epoch loss=4.266720
Batch=1199, step=10800, lr=0.155250, batch loss=0.154107, epoch loss=4.420826
Epoch=8, step=10800, lr=0.155250, epoch loss=4.420826
Batch=59, step=10860, lr=0.155000, batch loss=0.180056, epoch loss=0.180056
Batch=119, step=10920, lr=0.154750, batch loss=0.150649, epoch loss=0.330705
Batch=179, step=10980, lr=0.154500, batch loss=0.166386, epoch loss=0.497090
Batch=239, step=11040, lr=0.154250, batch loss=0.240677, epoch loss=0.737767
Batch=299, step=11100, lr=0.154000, batch loss=0.172320, epoch loss=0.910087
Batch=359, step=11160, lr=0.153750, batch loss=0.220749, epoch loss=1.130835
Batch=419, step=11220, lr=0.153500, batch loss=0.228466, epoch loss=1.359302
Batch=479, step=11280, lr=0.153250, batch loss=0.204087, epoch loss=1.563389
Batch=539, step=11340, lr=0.153000, batch loss=0.159033, epoch loss=1.722422
Batch=599, step=11400, lr=0.152750, batch loss=0.184361, epoch loss=1.906783
Batch=659, step=11460, lr=0.152500, batch loss=0.264434, epoch loss=2.171217
Batch=719, step=11520, lr=0.152250, batch loss=0.255863, epoch loss=2.427080
Batch=779, step=11580, lr=0.152000, batch loss=0.271106, epoch loss=2.698185
Batch=839, step=11640, lr=0.151750, batch loss=0.256596, epoch loss=2.954781
Batch=899, step=11700, lr=0.151500, batch loss=0.216893, epoch loss=3.171674
Batch=959, step=11760, lr=0.151250, batch loss=0.186273, epoch loss=3.357947
Batch=1019, step=11820, lr=0.151000, batch loss=0.276848, epoch loss=3.634795
Batch=1079, step=11880, lr=0.150750, batch loss=0.148699, epoch loss=3.783494
Batch=1139, step=11940, lr=0.150500, batch loss=0.180533, epoch loss=3.964027
Batch=1199, step=12000, lr=0.150250, batch loss=0.139756, epoch loss=4.103783
Epoch=9, step=12000, lr=0.150250, epoch loss=4.103783
Batch=59, step=12060, lr=0.150000, batch loss=0.161227, epoch loss=0.161227
Batch=119, step=12120, lr=0.149750, batch loss=0.136855, epoch loss=0.298082
Batch=179, step=12180, lr=0.149500, batch loss=0.150770, epoch loss=0.448852
Batch=239, step=12240, lr=0.149250, batch loss=0.218836, epoch loss=0.667689
Batch=299, step=12300, lr=0.149000, batch loss=0.142148, epoch loss=0.809837
Batch=359, step=12360, lr=0.148750, batch loss=0.198679, epoch loss=1.008517
Batch=419, step=12420, lr=0.148500, batch loss=0.206475, epoch loss=1.214991
Batch=479, step=12480, lr=0.148250, batch loss=0.178585, epoch loss=1.393576
Batch=539, step=12540, lr=0.148000, batch loss=0.142762, epoch loss=1.536337
Batch=599, step=12600, lr=0.147750, batch loss=0.149234, epoch loss=1.685571
Batch=659, step=12660, lr=0.147500, batch loss=0.226640, epoch loss=1.912211
Batch=719, step=12720, lr=0.147250, batch loss=0.233506, epoch loss=2.145717
Batch=779, step=12780, lr=0.147000, batch loss=0.263748, epoch loss=2.409465
Batch=839, step=12840, lr=0.146750, batch loss=0.233587, epoch loss=2.643052
Batch=899, step=12900, lr=0.146500, batch loss=0.203447, epoch loss=2.846499
Batch=959, step=12960, lr=0.146250, batch loss=0.146937, epoch loss=2.993436
Batch=1019, step=13020, lr=0.146000, batch loss=0.256871, epoch loss=3.250307
Batch=1079, step=13080, lr=0.145750, batch loss=0.114202, epoch loss=3.364509
Batch=1139, step=13140, lr=0.145500, batch loss=0.155010, epoch loss=3.519519
Batch=1199, step=13200, lr=0.145250, batch loss=0.117527, epoch loss=3.637046
Epoch=10, step=13200, lr=0.145250, epoch loss=3.637046
Batch=59, step=13260, lr=0.145000, batch loss=0.143798, epoch loss=0.143798
Batch=119, step=13320, lr=0.144750, batch loss=0.119865, epoch loss=0.263663
Batch=179, step=13380, lr=0.144500, batch loss=0.127624, epoch loss=0.391287
Batch=239, step=13440, lr=0.144250, batch loss=0.187988, epoch loss=0.579275
Batch=299, step=13500, lr=0.144000, batch loss=0.114659, epoch loss=0.693934
Batch=359, step=13560, lr=0.143750, batch loss=0.160286, epoch loss=0.854220
Batch=419, step=13620, lr=0.143500, batch loss=0.160647, epoch loss=1.014867
Batch=479, step=13680, lr=0.143250, batch loss=0.147767, epoch loss=1.162635
Batch=539, step=13740, lr=0.143000, batch loss=0.117052, epoch loss=1.279687
Batch=599, step=13800, lr=0.142750, batch loss=0.120622, epoch loss=1.400309
Batch=659, step=13860, lr=0.142500, batch loss=0.179584, epoch loss=1.579893
Batch=719, step=13920, lr=0.142250, batch loss=0.192490, epoch loss=1.772382
Batch=779, step=13980, lr=0.142000, batch loss=0.225410, epoch loss=1.997792
Batch=839, step=14040, lr=0.141750, batch loss=0.203111, epoch loss=2.200903
Batch=899, step=14100, lr=0.141500, batch loss=0.225136, epoch loss=2.426039
Batch=959, step=14160, lr=0.141250, batch loss=0.095880, epoch loss=2.521919
Batch=1019, step=14220, lr=0.141000, batch loss=0.188546, epoch loss=2.710466
Batch=1079, step=14280, lr=0.140750, batch loss=0.079928, epoch loss=2.790394
Batch=1139, step=14340, lr=0.140500, batch loss=0.126603, epoch loss=2.916997
Batch=1199, step=14400, lr=0.140250, batch loss=0.086614, epoch loss=3.003612
Epoch=11, step=14400, lr=0.140250, epoch loss=3.003612
Batch=59, step=14460, lr=0.140000, batch loss=0.104088, epoch loss=0.104088
Batch=119, step=14520, lr=0.139750, batch loss=0.098619, epoch loss=0.202707
Batch=179, step=14580, lr=0.139500, batch loss=0.100702, epoch loss=0.303409
Batch=239, step=14640, lr=0.139250, batch loss=0.142335, epoch loss=0.445744
Batch=299, step=14700, lr=0.139000, batch loss=0.075847, epoch loss=0.521591
Batch=359, step=14760, lr=0.138750, batch loss=0.121101, epoch loss=0.642692
Batch=419, step=14820, lr=0.138500, batch loss=0.129964, epoch loss=0.772657
Batch=479, step=14880, lr=0.138250, batch loss=0.101828, epoch loss=0.874484
Batch=539, step=14940, lr=0.138000, batch loss=0.108934, epoch loss=0.983418
Batch=599, step=15000, lr=0.137750, batch loss=0.083951, epoch loss=1.067369
Batch=659, step=15060, lr=0.137500, batch loss=0.128351, epoch loss=1.195720
Batch=719, step=15120, lr=0.137250, batch loss=0.131343, epoch loss=1.327064
Batch=779, step=15180, lr=0.137000, batch loss=0.162634, epoch loss=1.489698
Batch=839, step=15240, lr=0.136750, batch loss=0.161749, epoch loss=1.651447
Batch=899, step=15300, lr=0.136500, batch loss=0.285650, epoch loss=1.937097
Batch=959, step=15360, lr=0.136250, batch loss=0.060894, epoch loss=1.997991
Batch=1019, step=15420, lr=0.136000, batch loss=0.135552, epoch loss=2.133542
Batch=1079, step=15480, lr=0.135750, batch loss=0.044033, epoch loss=2.177576
Batch=1139, step=15540, lr=0.135500, batch loss=0.093975, epoch loss=2.271550
Batch=1199, step=15600, lr=0.135250, batch loss=0.059167, epoch loss=2.330717
Epoch=12, step=15600, lr=0.135250, epoch loss=2.330717
Batch=59, step=15660, lr=0.135000, batch loss=0.075991, epoch loss=0.075991
Batch=119, step=15720, lr=0.134750, batch loss=0.105021, epoch loss=0.181012
Batch=179, step=15780, lr=0.134500, batch loss=0.088558, epoch loss=0.269570
Batch=239, step=15840, lr=0.134250, batch loss=0.092986, epoch loss=0.362557
Batch=299, step=15900, lr=0.134000, batch loss=0.039923, epoch loss=0.402480
Batch=359, step=15960, lr=0.133750, batch loss=0.078476, epoch loss=0.480956
Batch=419, step=16020, lr=0.133500, batch loss=0.080760, epoch loss=0.561716
Batch=479, step=16080, lr=0.133250, batch loss=0.071128, epoch loss=0.632844
Batch=539, step=16140, lr=0.133000, batch loss=0.059205, epoch loss=0.692049
Batch=599, step=16200, lr=0.132750, batch loss=0.136027, epoch loss=0.828076
Batch=659, step=16260, lr=0.132500, batch loss=0.084186, epoch loss=0.912262
Batch=719, step=16320, lr=0.132250, batch loss=0.124066, epoch loss=1.036329
Batch=779, step=16380, lr=0.132000, batch loss=0.294445, epoch loss=1.330773
Batch=839, step=16440, lr=0.131750, batch loss=0.091829, epoch loss=1.422603
Batch=899, step=16500, lr=0.131500, batch loss=0.076059, epoch loss=1.498661
Batch=959, step=16560, lr=0.131250, batch loss=0.038911, epoch loss=1.537573
Batch=1019, step=16620, lr=0.131000, batch loss=0.097028, epoch loss=1.634601
Batch=1079, step=16680, lr=0.130750, batch loss=0.028980, epoch loss=1.663580
Batch=1139, step=16740, lr=0.130500, batch loss=0.067281, epoch loss=1.730861
Batch=1199, step=16800, lr=0.130250, batch loss=0.032407, epoch loss=1.763268
Epoch=13, step=16800, lr=0.130250, epoch loss=1.763268
Batch=59, step=16860, lr=0.130000, batch loss=0.036801, epoch loss=0.036801
Batch=119, step=16920, lr=0.129750, batch loss=0.039211, epoch loss=0.076011
Batch=179, step=16980, lr=0.129500, batch loss=0.043212, epoch loss=0.119224
Batch=239, step=17040, lr=0.129250, batch loss=0.056919, epoch loss=0.176143
Batch=299, step=17100, lr=0.129000, batch loss=0.022008, epoch loss=0.198151
Batch=359, step=17160, lr=0.128750, batch loss=0.050864, epoch loss=0.249016
Batch=419, step=17220, lr=0.128500, batch loss=0.095863, epoch loss=0.344879
Batch=479, step=17280, lr=0.128250, batch loss=0.023700, epoch loss=0.368579
Batch=539, step=17340, lr=0.128000, batch loss=0.027179, epoch loss=0.395758
Batch=599, step=17400, lr=0.127750, batch loss=0.039835, epoch loss=0.435593
Batch=659, step=17460, lr=0.127500, batch loss=0.053311, epoch loss=0.488904
Batch=719, step=17520, lr=0.127250, batch loss=0.066183, epoch loss=0.555087
Batch=779, step=17580, lr=0.127000, batch loss=0.073058, epoch loss=0.628146
Batch=839, step=17640, lr=0.126750, batch loss=0.111734, epoch loss=0.739880
Batch=899, step=17700, lr=0.126500, batch loss=0.050913, epoch loss=0.790793
Batch=959, step=17760, lr=0.126250, batch loss=0.020095, epoch loss=0.810888
Batch=1019, step=17820, lr=0.126000, batch loss=0.049462, epoch loss=0.860350
Batch=1079, step=17880, lr=0.125750, batch loss=0.039747, epoch loss=0.900097
Batch=1139, step=17940, lr=0.125500, batch loss=0.072362, epoch loss=0.972459
Batch=1199, step=18000, lr=0.125250, batch loss=0.024588, epoch loss=0.997047
Epoch=14, step=18000, lr=0.125250, epoch loss=0.997047
Batch=59, step=18060, lr=0.125000, batch loss=0.015278, epoch loss=0.015278
Batch=119, step=18120, lr=0.124750, batch loss=0.024427, epoch loss=0.039705
Batch=179, step=18180, lr=0.124500, batch loss=0.059755, epoch loss=0.099460
Batch=239, step=18240, lr=0.124250, batch loss=0.035610, epoch loss=0.135069
Batch=299, step=18300, lr=0.124000, batch loss=0.009946, epoch loss=0.145015
Batch=359, step=18360, lr=0.123750, batch loss=0.028541, epoch loss=0.173556
Batch=419, step=18420, lr=0.123500, batch loss=0.030475, epoch loss=0.204030
Batch=479, step=18480, lr=0.123250, batch loss=0.013989, epoch loss=0.218019
Batch=539, step=18540, lr=0.123000, batch loss=0.032364, epoch loss=0.250383
Batch=599, step=18600, lr=0.122750, batch loss=0.039775, epoch loss=0.290158
Batch=659, step=18660, lr=0.122500, batch loss=0.028148, epoch loss=0.318306
Batch=719, step=18720, lr=0.122250, batch loss=0.059446, epoch loss=0.377752
Batch=779, step=18780, lr=0.122000, batch loss=0.095773, epoch loss=0.473525
Batch=839, step=18840, lr=0.121750, batch loss=0.061717, epoch loss=0.535242
Batch=899, step=18900, lr=0.121500, batch loss=0.070646, epoch loss=0.605887
Batch=959, step=18960, lr=0.121250, batch loss=0.014087, epoch loss=0.619974
Batch=1019, step=19020, lr=0.121000, batch loss=0.017737, epoch loss=0.637711
Batch=1079, step=19080, lr=0.120750, batch loss=0.005329, epoch loss=0.643040
Batch=1139, step=19140, lr=0.120500, batch loss=0.025541, epoch loss=0.668582
Batch=1199, step=19200, lr=0.120250, batch loss=0.010518, epoch loss=0.679100
Epoch=15, step=19200, lr=0.120250, epoch loss=0.679100
Batch=59, step=19260, lr=0.120000, batch loss=0.005711, epoch loss=0.005711
Batch=119, step=19320, lr=0.119750, batch loss=0.019115, epoch loss=0.024825
Batch=179, step=19380, lr=0.119500, batch loss=0.045394, epoch loss=0.070219
Batch=239, step=19440, lr=0.119250, batch loss=0.020842, epoch loss=0.091061
Batch=299, step=19500, lr=0.119000, batch loss=0.005228, epoch loss=0.096289
Batch=359, step=19560, lr=0.118750, batch loss=0.020768, epoch loss=0.117057
Batch=419, step=19620, lr=0.118500, batch loss=0.020260, epoch loss=0.137317
Batch=479, step=19680, lr=0.118250, batch loss=0.007150, epoch loss=0.144467
Batch=539, step=19740, lr=0.118000, batch loss=0.026804, epoch loss=0.171270
Batch=599, step=19800, lr=0.117750, batch loss=0.026337, epoch loss=0.197608
Batch=659, step=19860, lr=0.117500, batch loss=0.015322, epoch loss=0.212930
Batch=719, step=19920, lr=0.117250, batch loss=0.034076, epoch loss=0.247006
Batch=779, step=19980, lr=0.117000, batch loss=0.079056, epoch loss=0.326061
Batch=839, step=20040, lr=0.116750, batch loss=0.031417, epoch loss=0.357478
Batch=899, step=20100, lr=0.116500, batch loss=0.029717, epoch loss=0.387195
Batch=959, step=20160, lr=0.116250, batch loss=0.019216, epoch loss=0.406411
Batch=1019, step=20220, lr=0.116000, batch loss=0.023277, epoch loss=0.429688
Batch=1079, step=20280, lr=0.115750, batch loss=0.002002, epoch loss=0.431690
Batch=1139, step=20340, lr=0.115500, batch loss=0.015038, epoch loss=0.446729
Batch=1199, step=20400, lr=0.115250, batch loss=0.005791, epoch loss=0.452519
Epoch=16, step=20400, lr=0.115250, epoch loss=0.452519
Batch=59, step=20460, lr=0.115000, batch loss=0.002545, epoch loss=0.002545
Batch=119, step=20520, lr=0.114750, batch loss=0.011859, epoch loss=0.014404
Batch=179, step=20580, lr=0.114500, batch loss=0.023784, epoch loss=0.038189
Batch=239, step=20640, lr=0.114250, batch loss=0.017018, epoch loss=0.055207
Batch=299, step=20700, lr=0.114000, batch loss=0.005254, epoch loss=0.060461
Batch=359, step=20760, lr=0.113750, batch loss=0.013770, epoch loss=0.074230
Batch=419, step=20820, lr=0.113500, batch loss=0.014709, epoch loss=0.088939
Batch=479, step=20880, lr=0.113250, batch loss=0.005399, epoch loss=0.094338
Batch=539, step=20940, lr=0.113000, batch loss=0.016219, epoch loss=0.110556
Batch=599, step=21000, lr=0.112750, batch loss=0.018357, epoch loss=0.128914
Batch=659, step=21060, lr=0.112500, batch loss=0.013083, epoch loss=0.141997
Batch=719, step=21120, lr=0.112250, batch loss=0.035452, epoch loss=0.177449
Batch=779, step=21180, lr=0.112000, batch loss=0.077185, epoch loss=0.254634
Batch=839, step=21240, lr=0.111750, batch loss=0.027060, epoch loss=0.281694
Batch=899, step=21300, lr=0.111500, batch loss=0.034447, epoch loss=0.316141
Batch=959, step=21360, lr=0.111250, batch loss=0.009948, epoch loss=0.326089
Batch=1019, step=21420, lr=0.111000, batch loss=0.010598, epoch loss=0.336687
Batch=1079, step=21480, lr=0.110750, batch loss=0.001306, epoch loss=0.337992
Batch=1139, step=21540, lr=0.110500, batch loss=0.012821, epoch loss=0.350814
Batch=1199, step=21600, lr=0.110250, batch loss=0.005178, epoch loss=0.355992
Epoch=17, step=21600, lr=0.110250, epoch loss=0.355992
Batch=59, step=21660, lr=0.110000, batch loss=0.001912, epoch loss=0.001912
Batch=119, step=21720, lr=0.109750, batch loss=0.006549, epoch loss=0.008460
Batch=179, step=21780, lr=0.109500, batch loss=0.012796, epoch loss=0.021256
Batch=239, step=21840, lr=0.109250, batch loss=0.012298, epoch loss=0.033554
Batch=299, step=21900, lr=0.109000, batch loss=0.002376, epoch loss=0.035930
Batch=359, step=21960, lr=0.108750, batch loss=0.012311, epoch loss=0.048241
Batch=419, step=22020, lr=0.108500, batch loss=0.011663, epoch loss=0.059904
Batch=479, step=22080, lr=0.108250, batch loss=0.002585, epoch loss=0.062488
Batch=539, step=22140, lr=0.108000, batch loss=0.018164, epoch loss=0.080653
Batch=599, step=22200, lr=0.107750, batch loss=0.016610, epoch loss=0.097263
Batch=659, step=22260, lr=0.107500, batch loss=0.015666, epoch loss=0.112928
Batch=719, step=22320, lr=0.107250, batch loss=0.024265, epoch loss=0.137194
Batch=779, step=22380, lr=0.107000, batch loss=0.035729, epoch loss=0.172923
Batch=839, step=22440, lr=0.106750, batch loss=0.025489, epoch loss=0.198412
Batch=899, step=22500, lr=0.106500, batch loss=0.028520, epoch loss=0.226931
Batch=959, step=22560, lr=0.106250, batch loss=0.009023, epoch loss=0.235954
Batch=1019, step=22620, lr=0.106000, batch loss=0.009930, epoch loss=0.245884
Batch=1079, step=22680, lr=0.105750, batch loss=0.000697, epoch loss=0.246581
Batch=1139, step=22740, lr=0.105500, batch loss=0.011479, epoch loss=0.258059
Batch=1199, step=22800, lr=0.105250, batch loss=0.004892, epoch loss=0.262952
Epoch=18, step=22800, lr=0.105250, epoch loss=0.262952
Batch=59, step=22860, lr=0.105000, batch loss=0.001729, epoch loss=0.001729
Batch=119, step=22920, lr=0.104750, batch loss=0.005525, epoch loss=0.007254
Batch=179, step=22980, lr=0.104500, batch loss=0.010356, epoch loss=0.017610
Batch=239, step=23040, lr=0.104250, batch loss=0.008989, epoch loss=0.026599
Batch=299, step=23100, lr=0.104000, batch loss=0.001922, epoch loss=0.028521
Batch=359, step=23160, lr=0.103750, batch loss=0.010626, epoch loss=0.039147
Batch=419, step=23220, lr=0.103500, batch loss=0.010400, epoch loss=0.049547
Batch=479, step=23280, lr=0.103250, batch loss=0.002374, epoch loss=0.051921
Batch=539, step=23340, lr=0.103000, batch loss=0.017085, epoch loss=0.069007
Batch=599, step=23400, lr=0.102750, batch loss=0.013633, epoch loss=0.082640
Batch=659, step=23460, lr=0.102500, batch loss=0.011718, epoch loss=0.094358
Batch=719, step=23520, lr=0.102250, batch loss=0.011464, epoch loss=0.105822
Batch=779, step=23580, lr=0.102000, batch loss=0.019165, epoch loss=0.124987
Batch=839, step=23640, lr=0.101750, batch loss=0.026272, epoch loss=0.151258
Batch=899, step=23700, lr=0.101500, batch loss=0.022198, epoch loss=0.173456
Batch=959, step=23760, lr=0.101250, batch loss=0.008458, epoch loss=0.181914
Batch=1019, step=23820, lr=0.101000, batch loss=0.008910, epoch loss=0.190824
Batch=1079, step=23880, lr=0.100750, batch loss=0.000760, epoch loss=0.191584
Batch=1139, step=23940, lr=0.100500, batch loss=0.008749, epoch loss=0.200333
Batch=1199, step=24000, lr=0.100250, batch loss=0.004572, epoch loss=0.204905
Epoch=19, step=24000, lr=0.100250, epoch loss=0.204905


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-10 12:35.16 ---> saved as "2810fb9848b75d444a194dd9231988c9264a166a73e27c10ab33edb661620fa5"
Job succeeded
2025-05-10 12:35.17: Job succeeded