(lower-bound)

2025-03-20 22:51.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (451f36eeac30ee583b682d08902494fd1a3a4f1b) (linux-x86_64:(lower-bound))
Base: ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 451f36ee
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71
# 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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 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_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 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.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 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.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


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


2025-03-20 22:51.40: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-b52341ba23877e94ae09b5dde4872bfa"
2025-03-20 22:51.40: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71)
(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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 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_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 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.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 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.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-03-20 22:51.40: Waiting for resource in pool OCluster
2025-03-20 22:51.40: Waiting for worker…
2025-03-20 22:52.54: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings


(from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71)
2025-03-20 22:52.54 ---> using "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8" 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"))
2025-03-20 22:52.54 ---> using "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f" 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.


Continue? [y/n] y
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.


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


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com"
[default] synchronised from file:///home/opam/opam-repository
2025-03-20 22:52.54 ---> using "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5" 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
2025-03-20 22:52.54 ---> using "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 22:52.54 ---> using "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
a8ed476033..6cf83229dd  master     -> origin/master
4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive
[default] synchronised from file:///home/opam/opam-repository


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:52.54 ---> using "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 22:52.54 ---> using "f2f5ebcb90fe4d7778d0156232e743d8dbe87e1e3ca2a12d09b4c5932b870185" from cache


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-03-20 22:52.54 ---> using "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 22:52.54 ---> using "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201" from cache


/src: (env DEPS "angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 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_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 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.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 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.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 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 [249 kB]
- Fetched 353 kB in 0s (873 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 ... 18776 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) ...
2025-03-20 22:52.54 ---> using "5413d90b88bfad68372a87ba6af93a5c804fd152971fa170c50329eac12afcf9" 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 65 packages
- install angstrom                0.15.0
- install backoff                 0.1.0
- install base                    v0.17.0
- install bigarray-compat         1.1.0
- install bigstringaf             0.5.0
- install conf-libffi             2.0.0
- install conf-pkg-config         1.0
- install cppo                    1.6.7
- install ctypes                  0.23.0
- install ctypes-foreign          0.23.0
- install dune                    3.14.0
- install dune-configurator       2.7.0
- install fieldslib               v0.17.0
- install integers                0.6.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install mtime                   2.0.0
- install multicore-magic         2.3.0
- install num                     1.0
- install ocaml-compiler-libs     v0.17.0
- install ocaml-syntax-shims      1.0.0
- install ocaml_intrinsics_kernel v0.17.0
- install ocamlbuild              0.14.3
- install ocamlfind               1.9.6
- 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            5.2
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.0
- install ppx_fields_conv         v0.17.0
- install ppx_globalize           v0.17.0
- install ppx_hash                v0.17.0
- install ppx_here                v0.17.0
- install ppx_inline_test         v0.17.0
- install ppx_minidebug           2.1.0
- install ppx_optcomp             v0.17.0
- install ppx_sexp_conv           v0.17.0
- install ppx_string              v0.17.0
- install ppx_variants_conv       v0.17.0
- install ppxlib                  0.32.1
- 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                   0.8.6
- install re                      1.9.0
- install result                  1.5
- install saturn_lockfree         0.5.0
- install seq                     0.3
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.1.0
- install time_now                v0.17.0
- install topkg                   1.0.6
- install tyxml                   4.4.0
- install uucp                    13.0.0
- install uutf                    1.0.3
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved angstrom.0.15.0  (cached)
-> retrieved base.v0.17.0  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.5.0  (cached)
-> installed conf-pkg-config.1.0
-> retrieved cppo.1.6.7  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved backoff.0.1.0  (https://github.com/ocaml-multicore/backoff/releases/download/0.1.0/backoff-0.1.0.tbz)
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.6.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.0.0  (cached)
-> retrieved multicore-magic.2.3.0  (cached)
-> retrieved num.1.0  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.0  (cached)
-> retrieved ocamlbuild.0.14.3  (cached)
-> retrieved ocamlfind.1.9.6  (cached)
-> retrieved dune.3.14.0  (cached)
-> retrieved dune-configurator.2.7.0  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.5.2  (cached)
-> retrieved ppx_expect.v0.17.0  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ptime.0.8.6  (cached)
-> retrieved re.1.9.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.0.3  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.1.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.6  (cached)
-> retrieved ppxlib.0.32.1  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved tyxml.4.4.0  (cached)
-> retrieved uutf.1.0.3  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.13.0.0  (cached)
-> installed ocamlfind.1.9.6
-> installed num.1.0
-> installed ocamlbuild.0.14.3
-> installed topkg.1.0.6
-> installed uutf.1.0.3
-> installed mtime.2.0.0
-> installed ptime.0.8.6
-> installed dune.3.14.0
-> installed backoff.0.1.0
-> installed bigarray-compat.1.1.0
-> installed bigstringaf.0.5.0
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed seq.0.3
-> installed printbox.0.12
-> installed result.1.5
-> installed stdlib-shims.0.1.0
-> installed multicore-magic.2.3.0
-> installed ocaml_intrinsics_kernel.v0.17.0
-> installed sexplib0.v0.17.0
-> installed cppo.1.6.7
-> installed integers.0.6.0
-> installed saturn_lockfree.0.5.0
-> installed ocaml-syntax-shims.1.0.0
-> installed dune-configurator.2.7.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed re.1.9.0
-> installed angstrom.0.15.0
-> installed parsexp.v0.17.0
-> installed sexplib.v0.17.0
-> installed tyxml.4.4.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed uucp.13.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.32.1
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.5.2
-> 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.2.1.0
-> 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.v0.17.0
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:52.54 ---> using "a706c3e8811936c940cce32ac493171bae38f86f52811ed8e079c228989c062b" from cache


/src: (copy (src .) (dst /src))
2025-03-20 22:52.54 ---> saved as "695f76d301ab7473b7734078582133a6d3d463f023874d2411bab9b3f49a9fd1"


/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/61c1f28e0549f456ac43bcc2bae3a0b0/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/63d97d0936b9926af45070a36139bfb1/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379
Batch=179, step=180, lr=0.199250, batch loss=2.644440, epoch loss=34.770819
Batch=239, step=240, lr=0.199000, batch loss=0.856726, epoch loss=35.627544
Batch=299, step=300, lr=0.198750, batch loss=1.433764, epoch loss=37.061309
Batch=359, step=360, lr=0.198500, batch loss=1.340037, epoch loss=38.401346
Batch=419, step=420, lr=0.198250, batch loss=0.610733, epoch loss=39.012078
Batch=479, step=480, lr=0.198000, batch loss=0.747543, epoch loss=39.759621
Batch=539, step=540, lr=0.197750, batch loss=0.688127, epoch loss=40.447748
Batch=599, step=600, lr=0.197500, batch loss=1.103938, epoch loss=41.551686
Batch=659, step=660, lr=0.197250, batch loss=0.481713, epoch loss=42.033398
Batch=719, step=720, lr=0.197250, batch loss=0.410753, epoch loss=42.444152
Batch=779, step=780, lr=0.196750, batch loss=0.469716, epoch loss=42.913867
Batch=839, step=840, lr=0.196750, batch loss=0.450327, epoch loss=43.364194
Batch=899, step=900, lr=0.196250, batch loss=0.383595, epoch loss=43.747789
Batch=959, step=960, lr=0.196000, batch loss=0.269474, epoch loss=44.017263
Batch=1019, step=1020, lr=0.195750, batch loss=0.485751, epoch loss=44.503014
Batch=1079, step=1080, lr=0.195750, batch loss=0.267236, epoch loss=44.770250
Batch=1139, step=1140, lr=0.195250, batch loss=0.329759, epoch loss=45.100009
Batch=1199, step=1200, lr=0.195000, batch loss=0.263896, epoch loss=45.363905
Epoch=0, step=1200, lr=0.195000, epoch loss=45.363905
Batch=59, step=1260, lr=0.194750, batch loss=0.263802, epoch loss=0.263802
Batch=119, step=1320, lr=0.194500, batch loss=0.208078, epoch loss=0.471880
Batch=179, step=1380, lr=0.194500, batch loss=0.249506, epoch loss=0.721387
Batch=239, step=1440, lr=0.194250, batch loss=0.351537, epoch loss=1.072924
Batch=299, step=1500, lr=0.194000, batch loss=0.237176, epoch loss=1.310100
Batch=359, step=1560, lr=0.193750, batch loss=0.313336, epoch loss=1.623436
Batch=419, step=1620, lr=0.193250, batch loss=0.312699, epoch loss=1.936135
Batch=479, step=1680, lr=0.193000, batch loss=0.277229, epoch loss=2.213363
Batch=539, step=1740, lr=0.193000, batch loss=0.209887, epoch loss=2.423250
Batch=599, step=1800, lr=0.192750, batch loss=0.245887, epoch loss=2.669137
Batch=659, step=1860, lr=0.192500, batch loss=0.362910, epoch loss=3.032047
Batch=719, step=1920, lr=0.192250, batch loss=0.356906, epoch loss=3.388952
Batch=779, step=1980, lr=0.192000, batch loss=0.382462, epoch loss=3.771414
Batch=839, step=2040, lr=0.191750, batch loss=0.342156, epoch loss=4.113570
Batch=899, step=2100, lr=0.191500, batch loss=0.295898, epoch loss=4.409468
Batch=959, step=2160, lr=0.191250, batch loss=0.215279, epoch loss=4.624747
Batch=1019, step=2220, lr=0.191000, batch loss=0.332004, epoch loss=4.956750
Batch=1079, step=2280, lr=0.190750, batch loss=0.210517, epoch loss=5.167268
Batch=1139, step=2340, lr=0.190500, batch loss=0.270421, epoch loss=5.437689
Batch=1199, step=2400, lr=0.190250, batch loss=0.219730, epoch loss=5.657418
Epoch=1, step=2400, lr=0.190250, epoch loss=5.657418
Batch=59, step=2460, lr=0.190000, batch loss=0.230949, epoch loss=0.230949
Batch=119, step=2520, lr=0.189750, batch loss=0.199141, epoch loss=0.430090
Batch=179, step=2580, lr=0.189500, batch loss=0.220921, epoch loss=0.651011
Batch=239, step=2640, lr=0.189250, batch loss=0.329281, epoch loss=0.980292
Batch=299, step=2700, lr=0.189000, batch loss=0.203480, epoch loss=1.183773
Batch=359, step=2760, lr=0.188750, batch loss=0.290390, epoch loss=1.474163
Batch=419, step=2820, lr=0.188500, batch loss=0.281098, epoch loss=1.755260
Batch=479, step=2880, lr=0.188250, batch loss=0.253170, epoch loss=2.008430
Batch=539, step=2940, lr=0.188000, batch loss=0.197737, epoch loss=2.206167
Batch=599, step=3000, lr=0.187750, batch loss=0.241404, epoch loss=2.447571
Batch=659, step=3060, lr=0.187500, batch loss=0.351388, epoch loss=2.798959
Batch=719, step=3120, lr=0.187250, batch loss=0.346558, epoch loss=3.145517
Batch=779, step=3180, lr=0.187000, batch loss=0.366143, epoch loss=3.511660
Batch=839, step=3240, lr=0.186750, batch loss=0.323437, epoch loss=3.835097
Batch=899, step=3300, lr=0.186500, batch loss=0.286741, epoch loss=4.121837
Batch=959, step=3360, lr=0.186250, batch loss=0.211745, epoch loss=4.333582
Batch=1019, step=3420, lr=0.186000, batch loss=0.308211, epoch loss=4.641793
Batch=1079, step=3480, lr=0.185750, batch loss=0.187467, epoch loss=4.829260
Batch=1139, step=3540, lr=0.185500, batch loss=0.231390, epoch loss=5.060650
Batch=1199, step=3600, lr=0.185250, batch loss=0.198774, epoch loss=5.259424
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259424
Batch=59, step=3660, lr=0.185000, batch loss=0.226172, epoch loss=0.226172
Batch=119, step=3720, lr=0.184750, batch loss=0.194926, epoch loss=0.421097
Batch=179, step=3780, lr=0.184500, batch loss=0.211820, epoch loss=0.632918
Batch=239, step=3840, lr=0.184250, batch loss=0.318479, epoch loss=0.951397
Batch=299, step=3900, lr=0.184000, batch loss=0.217249, epoch loss=1.168646
Batch=359, step=3960, lr=0.183750, batch loss=0.292910, epoch loss=1.461555
Batch=419, step=4020, lr=0.183500, batch loss=0.292234, epoch loss=1.753789
Batch=479, step=4080, lr=0.183250, batch loss=0.265038, epoch loss=2.018827
Batch=539, step=4140, lr=0.183000, batch loss=0.200807, epoch loss=2.219634
Batch=599, step=4200, lr=0.182750, batch loss=0.257987, epoch loss=2.477620
Batch=659, step=4260, lr=0.182500, batch loss=0.342814, epoch loss=2.820434
Batch=719, step=4320, lr=0.182250, batch loss=0.350212, epoch loss=3.170646
Batch=779, step=4380, lr=0.182000, batch loss=0.345649, epoch loss=3.516296
Batch=839, step=4440, lr=0.181750, batch loss=0.314068, epoch loss=3.830364
Batch=899, step=4500, lr=0.181500, batch loss=0.286153, epoch loss=4.116517
Batch=959, step=4560, lr=0.181250, batch loss=0.238983, epoch loss=4.355500
Batch=1019, step=4620, lr=0.181000, batch loss=0.334709, epoch loss=4.690209
Batch=1079, step=4680, lr=0.180750, batch loss=0.209957, epoch loss=4.900165
Batch=1139, step=4740, lr=0.180500, batch loss=0.251425, epoch loss=5.151590
Batch=1199, step=4800, lr=0.180250, batch loss=0.192377, epoch loss=5.343967
Epoch=3, step=4800, lr=0.180250, epoch loss=5.343967
Batch=59, step=4860, lr=0.180000, batch loss=0.223917, epoch loss=0.223917
Batch=119, step=4920, lr=0.179750, batch loss=0.188152, epoch loss=0.412069
Batch=179, step=4980, lr=0.179500, batch loss=0.207012, epoch loss=0.619080
Batch=239, step=5040, lr=0.179250, batch loss=0.307052, epoch loss=0.926132
Batch=299, step=5100, lr=0.179000, batch loss=0.202433, epoch loss=1.128565
Batch=359, step=5160, lr=0.178750, batch loss=0.274205, epoch loss=1.402771
Batch=419, step=5220, lr=0.178500, batch loss=0.265435, epoch loss=1.668206
Batch=479, step=5280, lr=0.178250, batch loss=0.240287, epoch loss=1.908493
Batch=539, step=5340, lr=0.178000, batch loss=0.191192, epoch loss=2.099685
Batch=599, step=5400, lr=0.177750, batch loss=0.231158, epoch loss=2.330842
Batch=659, step=5460, lr=0.177500, batch loss=0.325852, epoch loss=2.656695
Batch=719, step=5520, lr=0.177250, batch loss=0.333995, epoch loss=2.990689
Batch=779, step=5580, lr=0.177000, batch loss=0.343124, epoch loss=3.333813
Batch=839, step=5640, lr=0.176750, batch loss=0.310158, epoch loss=3.643971
Batch=899, step=5700, lr=0.176500, batch loss=0.273105, epoch loss=3.917077
Batch=959, step=5760, lr=0.176250, batch loss=0.215760, epoch loss=4.132837
Batch=1019, step=5820, lr=0.176000, batch loss=0.338433, epoch loss=4.471270
Batch=1079, step=5880, lr=0.175750, batch loss=0.195130, epoch loss=4.666400
Batch=1139, step=5940, lr=0.175500, batch loss=0.228293, epoch loss=4.894693
Batch=1199, step=6000, lr=0.175250, batch loss=0.185329, epoch loss=5.080023
Epoch=4, step=6000, lr=0.175250, epoch loss=5.080023
Batch=59, step=6060, lr=0.175000, batch loss=0.225123, epoch loss=0.225123
Batch=119, step=6120, lr=0.174750, batch loss=0.186006, epoch loss=0.411129
Batch=179, step=6180, lr=0.174500, batch loss=0.202145, epoch loss=0.613274
Batch=239, step=6240, lr=0.174250, batch loss=0.301672, epoch loss=0.914946
Batch=299, step=6300, lr=0.174000, batch loss=0.206009, epoch loss=1.120955
Batch=359, step=6360, lr=0.173750, batch loss=0.268682, epoch loss=1.389637
Batch=419, step=6420, lr=0.173500, batch loss=0.267294, epoch loss=1.656932
Batch=479, step=6480, lr=0.173250, batch loss=0.243092, epoch loss=1.900024
Batch=539, step=6540, lr=0.173000, batch loss=0.195156, epoch loss=2.095179
Batch=599, step=6600, lr=0.172750, batch loss=0.233577, epoch loss=2.328756
Batch=659, step=6660, lr=0.172500, batch loss=0.313967, epoch loss=2.642723
Batch=719, step=6720, lr=0.172250, batch loss=0.319425, epoch loss=2.962148
Batch=779, step=6780, lr=0.171750, batch loss=0.335680, epoch loss=3.297827
Batch=839, step=6840, lr=0.171500, batch loss=0.304317, epoch loss=3.602145
Batch=899, step=6900, lr=0.171250, batch loss=0.267701, epoch loss=3.869846
Batch=959, step=6960, lr=0.171000, batch loss=0.211441, epoch loss=4.081288
Batch=1019, step=7020, lr=0.170750, batch loss=0.332264, epoch loss=4.413551
Batch=1079, step=7080, lr=0.170500, batch loss=0.181479, epoch loss=4.595030
Batch=1139, step=7140, lr=0.170250, batch loss=0.217108, epoch loss=4.812139
Batch=1199, step=7200, lr=0.170000, batch loss=0.182200, epoch loss=4.994339
Epoch=5, step=7200, lr=0.170000, epoch loss=4.994339
Batch=59, step=7260, lr=0.170000, batch loss=0.234913, epoch loss=0.234913
Batch=119, step=7320, lr=0.169500, batch loss=0.184606, epoch loss=0.419519
Batch=179, step=7380, lr=0.169250, batch loss=0.196635, epoch loss=0.616154
Batch=239, step=7440, lr=0.169000, batch loss=0.293294, epoch loss=0.909448
Batch=299, step=7500, lr=0.168750, batch loss=0.200947, epoch loss=1.110395
Batch=359, step=7560, lr=0.168500, batch loss=0.259761, epoch loss=1.370156
Batch=419, step=7620, lr=0.168250, batch loss=0.258377, epoch loss=1.628532
Batch=479, step=7680, lr=0.168250, batch loss=0.236876, epoch loss=1.865409
Batch=539, step=7740, lr=0.167750, batch loss=0.189165, epoch loss=2.054573
Batch=599, step=7800, lr=0.167500, batch loss=0.224403, epoch loss=2.278976
Batch=659, step=7860, lr=0.167250, batch loss=0.306402, epoch loss=2.585378
Batch=719, step=7920, lr=0.167250, batch loss=0.309742, epoch loss=2.895120
Batch=779, step=7980, lr=0.166750, batch loss=0.326662, epoch loss=3.221782
Batch=839, step=8040, lr=0.166500, batch loss=0.293561, epoch loss=3.515342
Batch=899, step=8100, lr=0.166250, batch loss=0.261807, epoch loss=3.777149
Batch=959, step=8160, lr=0.166000, batch loss=0.202195, epoch loss=3.979344
Batch=1019, step=8220, lr=0.165750, batch loss=0.321306, epoch loss=4.300650
Batch=1079, step=8280, lr=0.165750, batch loss=0.180773, epoch loss=4.481423
Batch=1139, step=8340, lr=0.165250, batch loss=0.211042, epoch loss=4.692464
Batch=1199, step=8400, lr=0.165000, batch loss=0.178891, epoch loss=4.871355
Epoch=6, step=8400, lr=0.165000, epoch loss=4.871355
Batch=59, step=8460, lr=0.165000, batch loss=0.227288, epoch loss=0.227288
Batch=119, step=8520, lr=0.164500, batch loss=0.177452, epoch loss=0.404740
Batch=179, step=8580, lr=0.164250, batch loss=0.189573, epoch loss=0.594312
Batch=239, step=8640, lr=0.164000, batch loss=0.279871, epoch loss=0.874183
Batch=299, step=8700, lr=0.163750, batch loss=0.195607, epoch loss=1.069790
Batch=359, step=8760, lr=0.163500, batch loss=0.254723, epoch loss=1.324513
Batch=419, step=8820, lr=0.163250, batch loss=0.247401, epoch loss=1.571914
Batch=479, step=8880, lr=0.163000, batch loss=0.228846, epoch loss=1.800761
Batch=539, step=8940, lr=0.162750, batch loss=0.180034, epoch loss=1.980795
Batch=599, step=9000, lr=0.162500, batch loss=0.217416, epoch loss=2.198211
Batch=659, step=9060, lr=0.162250, batch loss=0.294507, epoch loss=2.492718
Batch=719, step=9120, lr=0.162000, batch loss=0.297043, epoch loss=2.789761
Batch=779, step=9180, lr=0.161750, batch loss=0.316391, epoch loss=3.106152
Batch=839, step=9240, lr=0.161750, batch loss=0.280222, epoch loss=3.386373
Batch=899, step=9300, lr=0.161250, batch loss=0.253656, epoch loss=3.640030
Batch=959, step=9360, lr=0.161000, batch loss=0.209516, epoch loss=3.849546
Batch=1019, step=9420, lr=0.160750, batch loss=0.298449, epoch loss=4.147995
Batch=1079, step=9480, lr=0.160500, batch loss=0.173272, epoch loss=4.321267
Batch=1139, step=9540, lr=0.160250, batch loss=0.201080, epoch loss=4.522347
Batch=1199, step=9600, lr=0.160000, batch loss=0.164359, epoch loss=4.686706
Epoch=7, step=9600, lr=0.160000, epoch loss=4.686706
Batch=59, step=9660, lr=0.160000, batch loss=0.189137, epoch loss=0.189137
Batch=119, step=9720, lr=0.159500, batch loss=0.159249, epoch loss=0.348386
Batch=179, step=9780, lr=0.159250, batch loss=0.179312, epoch loss=0.527698
Batch=239, step=9840, lr=0.159250, batch loss=0.263520, epoch loss=0.791218
Batch=299, step=9900, lr=0.158750, batch loss=0.180552, epoch loss=0.971770
Batch=359, step=9960, lr=0.158500, batch loss=0.237816, epoch loss=1.209586
Batch=419, step=10020, lr=0.158250, batch loss=0.234821, epoch loss=1.444407
Batch=479, step=10080, lr=0.158000, batch loss=0.220100, epoch loss=1.664507
Batch=539, step=10140, lr=0.157750, batch loss=0.165152, epoch loss=1.829659
Batch=599, step=10200, lr=0.157500, batch loss=0.203213, epoch loss=2.032872
Batch=659, step=10260, lr=0.157500, batch loss=0.281531, epoch loss=2.314403
Batch=719, step=10320, lr=0.157000, batch loss=0.284229, epoch loss=2.598632
Batch=779, step=10380, lr=0.156750, batch loss=0.291895, epoch loss=2.890527
Batch=839, step=10440, lr=0.156750, batch loss=0.267035, epoch loss=3.157562
Batch=899, step=10500, lr=0.156250, batch loss=0.243617, epoch loss=3.401179
Batch=959, step=10560, lr=0.156000, batch loss=0.195565, epoch loss=3.596743
Batch=1019, step=10620, lr=0.155750, batch loss=0.280479, epoch loss=3.877222
Batch=1079, step=10680, lr=0.155500, batch loss=0.175345, epoch loss=4.052567
Batch=1139, step=10740, lr=0.155250, batch loss=0.198406, epoch loss=4.250973
Batch=1199, step=10800, lr=0.155250, batch loss=0.154585, epoch loss=4.405559
Epoch=8, step=10800, lr=0.155250, epoch loss=4.405559
Batch=59, step=10860, lr=0.154750, batch loss=0.174206, epoch loss=0.174206
Batch=119, step=10920, lr=0.154500, batch loss=0.143331, epoch loss=0.317536
Batch=179, step=10980, lr=0.154500, batch loss=0.164561, epoch loss=0.482097
Batch=239, step=11040, lr=0.154000, batch loss=0.243102, epoch loss=0.725199
Batch=299, step=11100, lr=0.153750, batch loss=0.165687, epoch loss=0.890887
Batch=359, step=11160, lr=0.153750, batch loss=0.224756, epoch loss=1.115643
Batch=419, step=11220, lr=0.153250, batch loss=0.235377, epoch loss=1.351020
Batch=479, step=11280, lr=0.153000, batch loss=0.198639, epoch loss=1.549658
Batch=539, step=11340, lr=0.153000, batch loss=0.159062, epoch loss=1.708720
Batch=599, step=11400, lr=0.152500, batch loss=0.186259, epoch loss=1.894980
Batch=659, step=11460, lr=0.152250, batch loss=0.259806, epoch loss=2.154786
Batch=719, step=11520, lr=0.152000, batch loss=0.257267, epoch loss=2.412054
Batch=779, step=11580, lr=0.151750, batch loss=0.268747, epoch loss=2.680801
Batch=839, step=11640, lr=0.151500, batch loss=0.258155, epoch loss=2.938956
Batch=899, step=11700, lr=0.151500, batch loss=0.239731, epoch loss=3.178686
Batch=959, step=11760, lr=0.151250, batch loss=0.165099, epoch loss=3.343785
Batch=1019, step=11820, lr=0.150750, batch loss=0.267368, epoch loss=3.611153
Batch=1079, step=11880, lr=0.150750, batch loss=0.145477, epoch loss=3.756630
Batch=1139, step=11940, lr=0.150250, batch loss=0.191008, epoch loss=3.947638
Batch=1199, step=12000, lr=0.150250, batch loss=0.139035, epoch loss=4.086673
Epoch=9, step=12000, lr=0.150250, epoch loss=4.086673
Batch=59, step=12060, lr=0.150000, batch loss=0.160743, epoch loss=0.160743
Batch=119, step=12120, lr=0.149500, batch loss=0.137136, epoch loss=0.297879
Batch=179, step=12180, lr=0.149250, batch loss=0.150581, epoch loss=0.448460
Batch=239, step=12240, lr=0.149000, batch loss=0.218664, epoch loss=0.667124
Batch=299, step=12300, lr=0.149000, batch loss=0.142260, epoch loss=0.809384
Batch=359, step=12360, lr=0.148500, batch loss=0.193890, epoch loss=1.003273
Batch=419, step=12420, lr=0.148500, batch loss=0.200374, epoch loss=1.203647
Batch=479, step=12480, lr=0.148000, batch loss=0.177313, epoch loss=1.380960
Batch=539, step=12540, lr=0.148000, batch loss=0.143422, epoch loss=1.524382
Batch=599, step=12600, lr=0.147500, batch loss=0.149116, epoch loss=1.673498
Batch=659, step=12660, lr=0.147250, batch loss=0.226317, epoch loss=1.899815
Batch=719, step=12720, lr=0.147000, batch loss=0.230122, epoch loss=2.129937
Batch=779, step=12780, lr=0.146750, batch loss=0.258468, epoch loss=2.388405
Batch=839, step=12840, lr=0.146500, batch loss=0.236272, epoch loss=2.624677
Batch=899, step=12900, lr=0.146250, batch loss=0.233293, epoch loss=2.857971
Batch=959, step=12960, lr=0.146000, batch loss=0.137952, epoch loss=2.995922
Batch=1019, step=13020, lr=0.145750, batch loss=0.212008, epoch loss=3.207930
Batch=1079, step=13080, lr=0.145500, batch loss=0.116384, epoch loss=3.324314
Batch=1139, step=13140, lr=0.145250, batch loss=0.155850, epoch loss=3.480164
Batch=1199, step=13200, lr=0.145000, batch loss=0.115906, epoch loss=3.596070
Epoch=10, step=13200, lr=0.145000, epoch loss=3.596070
Batch=59, step=13260, lr=0.145000, batch loss=0.137626, epoch loss=0.137626
Batch=119, step=13320, lr=0.144500, batch loss=0.124576, epoch loss=0.262202
Batch=179, step=13380, lr=0.144250, batch loss=0.128405, epoch loss=0.390607
Batch=239, step=13440, lr=0.144250, batch loss=0.190338, epoch loss=0.580945
Batch=299, step=13500, lr=0.143750, batch loss=0.119093, epoch loss=0.700038
Batch=359, step=13560, lr=0.143500, batch loss=0.164175, epoch loss=0.864213
Batch=419, step=13620, lr=0.143250, batch loss=0.166647, epoch loss=1.030860
Batch=479, step=13680, lr=0.143000, batch loss=0.149360, epoch loss=1.180220
Batch=539, step=13740, lr=0.142750, batch loss=0.116041, epoch loss=1.296261
Batch=599, step=13800, lr=0.142500, batch loss=0.119342, epoch loss=1.415603
Batch=659, step=13860, lr=0.142250, batch loss=0.181557, epoch loss=1.597160
Batch=719, step=13920, lr=0.142000, batch loss=0.194886, epoch loss=1.792046
Batch=779, step=13980, lr=0.142000, batch loss=0.223058, epoch loss=2.015104
Batch=839, step=14040, lr=0.141500, batch loss=0.201035, epoch loss=2.216138
Batch=899, step=14100, lr=0.141250, batch loss=0.214054, epoch loss=2.430192
Batch=959, step=14160, lr=0.141000, batch loss=0.102509, epoch loss=2.532701
Batch=1019, step=14220, lr=0.140750, batch loss=0.197845, epoch loss=2.730546
Batch=1079, step=14280, lr=0.140500, batch loss=0.076193, epoch loss=2.806739
Batch=1139, step=14340, lr=0.140500, batch loss=0.114511, epoch loss=2.921250
Batch=1199, step=14400, lr=0.140000, batch loss=0.084028, epoch loss=3.005278
Epoch=11, step=14400, lr=0.140000, epoch loss=3.005278
Batch=59, step=14460, lr=0.139750, batch loss=0.109137, epoch loss=0.109137
Batch=119, step=14520, lr=0.139500, batch loss=0.112446, epoch loss=0.221583
Batch=179, step=14580, lr=0.139250, batch loss=0.102787, epoch loss=0.324371
Batch=239, step=14640, lr=0.139000, batch loss=0.140447, epoch loss=0.464817
Batch=299, step=14700, lr=0.138750, batch loss=0.076408, epoch loss=0.541226
Batch=359, step=14760, lr=0.138750, batch loss=0.118907, epoch loss=0.660133
Batch=419, step=14820, lr=0.138250, batch loss=0.131712, epoch loss=0.791845
Batch=479, step=14880, lr=0.138000, batch loss=0.098396, epoch loss=0.890241
Batch=539, step=14940, lr=0.137750, batch loss=0.097154, epoch loss=0.987395
Batch=599, step=15000, lr=0.137750, batch loss=0.083233, epoch loss=1.070628
Batch=659, step=15060, lr=0.137250, batch loss=0.134693, epoch loss=1.205321
Batch=719, step=15120, lr=0.137000, batch loss=0.170224, epoch loss=1.375546
Batch=779, step=15180, lr=0.136750, batch loss=0.319433, epoch loss=1.694979
Batch=839, step=15240, lr=0.136500, batch loss=0.133997, epoch loss=1.828976
Batch=899, step=15300, lr=0.136500, batch loss=0.113175, epoch loss=1.942151
Batch=959, step=15360, lr=0.136000, batch loss=0.097279, epoch loss=2.039430
Batch=1019, step=15420, lr=0.135750, batch loss=0.167544, epoch loss=2.206974
Batch=1079, step=15480, lr=0.135500, batch loss=0.041162, epoch loss=2.248135
Batch=1139, step=15540, lr=0.135500, batch loss=0.092713, epoch loss=2.340849
Batch=1199, step=15600, lr=0.135250, batch loss=0.058057, epoch loss=2.398906
Epoch=12, step=15600, lr=0.135250, epoch loss=2.398906
Batch=59, step=15660, lr=0.134750, batch loss=0.078106, epoch loss=0.078106
Batch=119, step=15720, lr=0.134500, batch loss=0.120192, epoch loss=0.198297
Batch=179, step=15780, lr=0.134250, batch loss=0.093124, epoch loss=0.291421
Batch=239, step=15840, lr=0.134000, batch loss=0.095263, epoch loss=0.386684
Batch=299, step=15900, lr=0.133750, batch loss=0.038755, epoch loss=0.425438
Batch=359, step=15960, lr=0.133500, batch loss=0.084215, epoch loss=0.509654
Batch=419, step=16020, lr=0.133250, batch loss=0.078154, epoch loss=0.587808
Batch=479, step=16080, lr=0.133000, batch loss=0.054892, epoch loss=0.642700
Batch=539, step=16140, lr=0.132750, batch loss=0.076101, epoch loss=0.718801
Batch=599, step=16200, lr=0.132500, batch loss=0.175898, epoch loss=0.894699
Batch=659, step=16260, lr=0.132250, batch loss=0.099228, epoch loss=0.993927
Batch=719, step=16320, lr=0.132000, batch loss=0.121320, epoch loss=1.115247
Batch=779, step=16380, lr=0.131750, batch loss=0.262827, epoch loss=1.378074
Batch=839, step=16440, lr=0.131750, batch loss=0.089856, epoch loss=1.467930
Batch=899, step=16500, lr=0.131500, batch loss=0.074381, epoch loss=1.542311
Batch=959, step=16560, lr=0.131000, batch loss=0.035213, epoch loss=1.577524
Batch=1019, step=16620, lr=0.130750, batch loss=0.082521, epoch loss=1.660045
Batch=1079, step=16680, lr=0.130500, batch loss=0.036658, epoch loss=1.696703
Batch=1139, step=16740, lr=0.130250, batch loss=0.073236, epoch loss=1.769938
Batch=1199, step=16800, lr=0.130000, batch loss=0.033996, epoch loss=1.803934
Epoch=13, step=16800, lr=0.130000, epoch loss=1.803934
Batch=59, step=16860, lr=0.129750, batch loss=0.035659, epoch loss=0.035659
Batch=119, step=16920, lr=0.129500, batch loss=0.035928, epoch loss=0.071587
Batch=179, step=16980, lr=0.129250, batch loss=0.042653, epoch loss=0.114239
Batch=239, step=17040, lr=0.129000, batch loss=0.055648, epoch loss=0.169887
Batch=299, step=17100, lr=0.128750, batch loss=0.018650, epoch loss=0.188538
Batch=359, step=17160, lr=0.128500, batch loss=0.042331, epoch loss=0.230869
Batch=419, step=17220, lr=0.128250, batch loss=0.049852, epoch loss=0.280721
Batch=479, step=17280, lr=0.128000, batch loss=0.035604, epoch loss=0.316325
Batch=539, step=17340, lr=0.127750, batch loss=0.060511, epoch loss=0.376835
Batch=599, step=17400, lr=0.127500, batch loss=0.035464, epoch loss=0.412300
Batch=659, step=17460, lr=0.127250, batch loss=0.048810, epoch loss=0.461110
Batch=719, step=17520, lr=0.127000, batch loss=0.061315, epoch loss=0.522425
Batch=779, step=17580, lr=0.127000, batch loss=0.066268, epoch loss=0.588694
Batch=839, step=17640, lr=0.126500, batch loss=0.102860, epoch loss=0.691553
Batch=899, step=17700, lr=0.126250, batch loss=0.049565, epoch loss=0.741118
Batch=959, step=17760, lr=0.126250, batch loss=0.016176, epoch loss=0.757294
Batch=1019, step=17820, lr=0.126000, batch loss=0.034866, epoch loss=0.792160
Batch=1079, step=17880, lr=0.125500, batch loss=0.045381, epoch loss=0.837541
Batch=1139, step=17940, lr=0.125250, batch loss=0.072796, epoch loss=0.910337
Batch=1199, step=18000, lr=0.125000, batch loss=0.023034, epoch loss=0.933371
Epoch=14, step=18000, lr=0.125000, epoch loss=0.933371
Batch=59, step=18060, lr=0.124750, batch loss=0.015953, epoch loss=0.015953
Batch=119, step=18120, lr=0.124750, batch loss=0.018786, epoch loss=0.034739
Batch=179, step=18180, lr=0.124250, batch loss=0.029366, epoch loss=0.064105
Batch=239, step=18240, lr=0.124000, batch loss=0.035464, epoch loss=0.099569
Batch=299, step=18300, lr=0.124000, batch loss=0.009534, epoch loss=0.109103
Batch=359, step=18360, lr=0.123750, batch loss=0.024848, epoch loss=0.133950
Batch=419, step=18420, lr=0.123250, batch loss=0.027823, epoch loss=0.161773
Batch=479, step=18480, lr=0.123000, batch loss=0.012415, epoch loss=0.174187
Batch=539, step=18540, lr=0.123000, batch loss=0.020853, epoch loss=0.195040
Batch=599, step=18600, lr=0.122750, batch loss=0.028309, epoch loss=0.223350
Batch=659, step=18660, lr=0.122250, batch loss=0.027938, epoch loss=0.251287
Batch=719, step=18720, lr=0.122250, batch loss=0.037268, epoch loss=0.288555
Batch=779, step=18780, lr=0.121750, batch loss=0.068332, epoch loss=0.356888
Batch=839, step=18840, lr=0.121500, batch loss=0.141194, epoch loss=0.498082
Batch=899, step=18900, lr=0.121250, batch loss=0.037348, epoch loss=0.535429
Batch=959, step=18960, lr=0.121000, batch loss=0.014725, epoch loss=0.550154
Batch=1019, step=19020, lr=0.120750, batch loss=0.024715, epoch loss=0.574869
Batch=1079, step=19080, lr=0.120500, batch loss=0.009717, epoch loss=0.584586
Batch=1139, step=19140, lr=0.120250, batch loss=0.023350, epoch loss=0.607936
Batch=1199, step=19200, lr=0.120000, batch loss=0.010330, epoch loss=0.618266
Epoch=15, step=19200, lr=0.120000, epoch loss=0.618266
Batch=59, step=19260, lr=0.119750, batch loss=0.004625, epoch loss=0.004625
Batch=119, step=19320, lr=0.119500, batch loss=0.010861, epoch loss=0.015486
Batch=179, step=19380, lr=0.119500, batch loss=0.020690, epoch loss=0.036175
Batch=239, step=19440, lr=0.119000, batch loss=0.022858, epoch loss=0.059033
Batch=299, step=19500, lr=0.118750, batch loss=0.021403, epoch loss=0.080436
Batch=359, step=19560, lr=0.118500, batch loss=0.030839, epoch loss=0.111275
Batch=419, step=19620, lr=0.118500, batch loss=0.020158, epoch loss=0.131433
Batch=479, step=19680, lr=0.118000, batch loss=0.006454, epoch loss=0.137887
Batch=539, step=19740, lr=0.118000, batch loss=0.018303, epoch loss=0.156190
Batch=599, step=19800, lr=0.117500, batch loss=0.024687, epoch loss=0.180877
Batch=659, step=19860, lr=0.117500, batch loss=0.018838, epoch loss=0.199715
Batch=719, step=19920, lr=0.117250, batch loss=0.036173, epoch loss=0.235888
Batch=779, step=19980, lr=0.116750, batch loss=0.089548, epoch loss=0.325436
Batch=839, step=20040, lr=0.116500, batch loss=0.031374, epoch loss=0.356809
Batch=899, step=20100, lr=0.116250, batch loss=0.033392, epoch loss=0.390201
Batch=959, step=20160, lr=0.116000, batch loss=0.012318, epoch loss=0.402519
Batch=1019, step=20220, lr=0.115750, batch loss=0.017050, epoch loss=0.419569
Batch=1079, step=20280, lr=0.115500, batch loss=0.001809, epoch loss=0.421378
Batch=1139, step=20340, lr=0.115250, batch loss=0.015090, epoch loss=0.436468
Batch=1199, step=20400, lr=0.115000, batch loss=0.007159, epoch loss=0.443627
Epoch=16, step=20400, lr=0.115000, epoch loss=0.443627
Batch=59, step=20460, lr=0.114750, batch loss=0.003176, epoch loss=0.003176
Batch=119, step=20520, lr=0.114750, batch loss=0.009077, epoch loss=0.012253
Batch=179, step=20580, lr=0.114500, batch loss=0.020614, epoch loss=0.032867
Batch=239, step=20640, lr=0.114250, batch loss=0.020327, epoch loss=0.053195
Batch=299, step=20700, lr=0.113750, batch loss=0.010640, epoch loss=0.063835
Batch=359, step=20760, lr=0.113500, batch loss=0.014783, epoch loss=0.078618
Batch=419, step=20820, lr=0.113250, batch loss=0.015140, epoch loss=0.093759
Batch=479, step=20880, lr=0.113250, batch loss=0.003962, epoch loss=0.097720
Batch=539, step=20940, lr=0.112750, batch loss=0.015903, epoch loss=0.113623
Batch=599, step=21000, lr=0.112500, batch loss=0.017922, epoch loss=0.131545
Batch=659, step=21060, lr=0.112250, batch loss=0.013311, epoch loss=0.144856
Batch=719, step=21120, lr=0.112000, batch loss=0.032457, epoch loss=0.177313
Batch=779, step=21180, lr=0.111750, batch loss=0.057768, epoch loss=0.235082
Batch=839, step=21240, lr=0.111500, batch loss=0.025286, epoch loss=0.260368
Batch=899, step=21300, lr=0.111250, batch loss=0.023690, epoch loss=0.284057
Batch=959, step=21360, lr=0.111000, batch loss=0.012355, epoch loss=0.296413
Batch=1019, step=21420, lr=0.110750, batch loss=0.017938, epoch loss=0.314351
Batch=1079, step=21480, lr=0.110500, batch loss=0.002737, epoch loss=0.317088
Batch=1139, step=21540, lr=0.110250, batch loss=0.012570, epoch loss=0.329658
Batch=1199, step=21600, lr=0.110000, batch loss=0.005218, epoch loss=0.334876
Epoch=17, step=21600, lr=0.110000, epoch loss=0.334876
Batch=59, step=21660, lr=0.109750, batch loss=0.001901, epoch loss=0.001901
Batch=119, step=21720, lr=0.109750, batch loss=0.006619, epoch loss=0.008520
Batch=179, step=21780, lr=0.109500, batch loss=0.013328, epoch loss=0.021848
Batch=239, step=21840, lr=0.109000, batch loss=0.010829, epoch loss=0.032677
Batch=299, step=21900, lr=0.109000, batch loss=0.013501, epoch loss=0.046178
Batch=359, step=21960, lr=0.108500, batch loss=0.012561, epoch loss=0.058739
Batch=419, step=22020, lr=0.108500, batch loss=0.012651, epoch loss=0.071390
Batch=479, step=22080, lr=0.108250, batch loss=0.002871, epoch loss=0.074261
Batch=539, step=22140, lr=0.107750, batch loss=0.016912, epoch loss=0.091172
Batch=599, step=22200, lr=0.107500, batch loss=0.016682, epoch loss=0.107855
Batch=659, step=22260, lr=0.107250, batch loss=0.016349, epoch loss=0.124204
Batch=719, step=22320, lr=0.107000, batch loss=0.022787, epoch loss=0.146991
Batch=779, step=22380, lr=0.106750, batch loss=0.039746, epoch loss=0.186737
Batch=839, step=22440, lr=0.106500, batch loss=0.021233, epoch loss=0.207970
Batch=899, step=22500, lr=0.106250, batch loss=0.030458, epoch loss=0.238428
Batch=959, step=22560, lr=0.106000, batch loss=0.009015, epoch loss=0.247443
Batch=1019, step=22620, lr=0.105750, batch loss=0.010149, epoch loss=0.257592
Batch=1079, step=22680, lr=0.105500, batch loss=0.000488, epoch loss=0.258080
Batch=1139, step=22740, lr=0.105250, batch loss=0.010523, epoch loss=0.268603
Batch=1199, step=22800, lr=0.105000, batch loss=0.004597, epoch loss=0.273200
Epoch=18, step=22800, lr=0.105000, epoch loss=0.273200
Batch=59, step=22860, lr=0.105000, batch loss=0.001325, epoch loss=0.001325
Batch=119, step=22920, lr=0.104500, batch loss=0.005260, epoch loss=0.006584
Batch=179, step=22980, lr=0.104250, batch loss=0.010050, epoch loss=0.016634
Batch=239, step=23040, lr=0.104000, batch loss=0.009899, epoch loss=0.026533
Batch=299, step=23100, lr=0.103750, batch loss=0.010267, epoch loss=0.036800
Batch=359, step=23160, lr=0.103500, batch loss=0.011717, epoch loss=0.048517
Batch=419, step=23220, lr=0.103500, batch loss=0.010993, epoch loss=0.059510
Batch=479, step=23280, lr=0.103000, batch loss=0.002336, epoch loss=0.061846
Batch=539, step=23340, lr=0.102750, batch loss=0.017515, epoch loss=0.079362
Batch=599, step=23400, lr=0.102500, batch loss=0.013415, epoch loss=0.092777
Batch=659, step=23460, lr=0.102250, batch loss=0.011360, epoch loss=0.104137
Batch=719, step=23520, lr=0.102250, batch loss=0.011695, epoch loss=0.115832
Batch=779, step=23580, lr=0.102000, batch loss=0.019003, epoch loss=0.134835
Batch=839, step=23640, lr=0.101750, batch loss=0.027704, epoch loss=0.162539
Batch=899, step=23700, lr=0.101250, batch loss=0.021548, epoch loss=0.184087
Batch=959, step=23760, lr=0.101250, batch loss=0.011238, epoch loss=0.195325
Batch=1019, step=23820, lr=0.100750, batch loss=0.011676, epoch loss=0.207001
Batch=1079, step=23880, lr=0.100500, batch loss=0.000527, epoch loss=0.207529
Batch=1139, step=23940, lr=0.100250, batch loss=0.009100, epoch loss=0.216629
Batch=1199, step=24000, lr=0.100000, batch loss=0.004674, epoch loss=0.221303
Epoch=19, step=24000, lr=0.100000, epoch loss=0.221303


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 22:54.26 ---> saved as "4f8300ae289655de36ba365efea486dfdd23a26e429a199b3095312faa11f6a6"
Job succeeded
2025-03-20 22:54.27: Job succeeded