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Organisationsahrefsocannl4ee46a ()debian-12-5.3+flambda_opam-2.3

debian-12-5.3+flambda_opam-2.3

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2025-03-20 22:11.56: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (4ee46a20839684c520fd8d1cc91b4a5416d1e783) (linux-x86_64:debian-12-5.3+flambda_opam-2.3)
Base: ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:36b0564f1768719da7bdf896155176e645f1eed290256ed08bf88aedbed5db96
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 4ee46a20
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:36b0564f1768719da7bdf896155176e645f1eed290256ed08bf88aedbed5db96
# debian-12-5.3+flambda_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-syntax-shims.1.0.0 ocaml-variants.5.3.0+options ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


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


2025-03-20 22:11.56: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:36b0564f1768719da7bdf896155176e645f1eed290256ed08bf88aedbed5db96-debian-12-5.3+flambda_opam-2.3-14a85f4c565cc30186c137b219fc7fa2"
2025-03-20 22:11.56: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:36b0564f1768719da7bdf896155176e645f1eed290256ed08bf88aedbed5db96)
(comment debian-12-5.3+flambda_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-syntax-shims.1.0.0 ocaml-variants.5.3.0+options ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-03-20 22:11.56: Waiting for resource in pool OCluster
2025-03-20 22:11.56: Waiting for worker…
2025-03-20 22:15.24: Got resource from pool OCluster
Building on asteria.caelum.ci.dev
HEAD is now at ccaf459c Missing from previous commit: test update
HEAD is now at 4ee46a20 Update GitHub actions


(from ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:36b0564f1768719da7bdf896155176e645f1eed290256ed08bf88aedbed5db96)
2025-03-20 22:15.25 ---> using "0cceac30ed9dfa8d54c8dfb703526aecc2d1f25e09755ea19f6a9b3ce08944d1" from cache


/: (comment debian-12-5.3+flambda_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-20 22:15.25 ---> using "b6cc72d0b69338afee388438c163da01e1509537d9db800516f8d6f84e0ff0f0" 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 ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[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 22:15.25 ---> using "9579671be2547253d961834dbf99a2617c3043d50341e16980a14c2b7946d157" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-03-20 22:15.25 ---> using "21f2427316ecd3b2b1d06245ccc85b94bbe86b75b44d925374a8e2c678f4916d" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 22:15.25 ---> using "a9c2b183ae9ffb50c46a6bddc4bdbd4bc2a49a6d4fa95d31a0495ab1d51f7cf3" 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
862a7640b1..6cf83229dd  master     -> origin/master
4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0


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


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:15.25 ---> using "af53f33f5b819debc22b733209c9b4785d8a42ec3a79f8a616d660e6188b4b5a" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 22:15.25 ---> using "4d092fe60106e4cfa0fe459c0b169083e09f5dc64b9b316296acefc369daf27c" 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 22:15.25 ---> using "ed41bc75e2dba58dad74574c9ffea1421b3c12ed3ca43c7e83f3886b17c40c33" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 22:15.25 ---> using "e17b79b6b616db5a76c5f8ba7b9f742d2848885854a4f2f4f81546ed5d06406a" from cache


/src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-syntax-shims.1.0.0 ocaml-variants.5.3.0+options ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apt-get" "update"
- Get:1 http://deb.debian.org/debian bookworm InRelease [151 kB]
- 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 bookworm/main amd64 Packages [8792 kB]
- Get:5 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [249 kB]
- Fetched 9296 kB in 1s (7159 kB/s)
- Reading package lists...


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


[NOTE] Package ocaml-variants is already installed (current version is 5.3.0+options).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).


The following system packages will first need to be installed:
libffi-dev pkg-config


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


+ /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config"
- debconf: delaying package configuration, since apt-utils is not installed
- Selecting previously unselected package libffi-dev:amd64.
- (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
(Reading database ... 30%
(Reading database ... 35%
(Reading database ... 40%
(Reading database ... 45%
(Reading database ... 50%
(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 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+deb12u9) ...
2025-03-20 22:15.25 ---> using "b2525f254fe76ee0fff7852a88218c32446de8a68e191c41be20656ee0652909" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-variants is already installed (current version is 5.3.0+options).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 65 packages
- install angstrom                0.16.1
- install backoff                 0.1.1
- install base                    v0.17.1
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- install conf-libffi             2.0.0
- install conf-pkg-config         4
- install cppo                    1.8.0
- install csexp                   1.5.2
- install ctypes                  0.23.0
- install ctypes-foreign          0.23.0
- install dune                    3.17.2
- install dune-configurator       3.17.2
- install fieldslib               v0.17.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install mtime                   2.1.0
- install multicore-magic         2.3.1
- install num                     1.5-1
- install ocaml-compiler-libs     v0.17.0
- install ocaml-syntax-shims      1.0.0
- install ocaml_intrinsics_kernel v0.17.1
- install ocamlbuild              0.16.1
- install ocamlfind               1.9.8
- install parsexp                 v0.17.0
- install ppx_assert              v0.17.0
- install ppx_base                v0.17.0
- install ppx_cold                v0.17.0
- install ppx_compare             v0.17.0
- install ppx_derivers            1.2.1
- install ppx_deriving            6.0.3
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.2
- install ppx_fields_conv         v0.17.0
- install ppx_globalize           v0.17.0
- install ppx_hash                v0.17.0
- install ppx_here                v0.17.0
- install ppx_inline_test         v0.17.0
- install ppx_minidebug           2.1.0
- install ppx_optcomp             v0.17.0
- install ppx_sexp_conv           v0.17.0
- install ppx_string              v0.17.0
- install ppx_variants_conv       v0.17.0
- install ppxlib                  0.35.0
- install ppxlib_jane             v0.17.2
- install printbox                0.12
- install printbox-ext-plot       0.12
- install printbox-html           0.12
- install printbox-md             0.12
- install printbox-text           0.12
- install ptime                   1.2.0
- install re                      1.12.0
- install saturn_lockfree         0.5.0
- install seq                     base
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.3.0
- install time_now                v0.17.0
- install topkg                   1.0.8
- install tyxml                   4.6.0
- install uucp                    16.0.0
- install uutf                    1.0.4
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> 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.2.1.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (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 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 ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed backoff.0.1.1
-> installed printbox.0.12
-> installed bigarray-compat.1.1.0
-> installed csexp.1.5.2
-> installed multicore-magic.2.3.1
-> installed ocaml-syntax-shims.1.0.0
-> installed cppo.1.8.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed re.1.12.0
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.17.2
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed uucp.16.0.0
-> installed printbox-html.0.12
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.1
-> installed ctypes-foreign.0.23.0
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ppxlib.0.35.0
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_minidebug.2.1.0
-> 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.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:15.25 ---> using "fe9fe964598e38313b9199dad45340f8d22606e7deb7f9769e2b671f80f8063a" from cache


/src: (copy (src .) (dst /src))
2025-03-20 22:15.25 ---> saved as "d2c479c3673829352eeccef88b484f654b5bdf88a5aa064b28cc1073b8019d73"


/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/ca33e61146172de7418e67b74bbdff30/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/ca33e61146172de7418e67b74bbdff30/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca33e61146172de7418e67b74bbdff30/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/8b77c20becd28cf1da8fc920632dba9c/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ca33e61146172de7418e67b74bbdff30/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca33e61146172de7418e67b74bbdff30/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/ca33e61146172de7418e67b74bbdff30/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca33e61146172de7418e67b74bbdff30/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/ca33e61146172de7418e67b74bbdff30/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca33e61146172de7418e67b74bbdff30/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/ca33e61146172de7418e67b74bbdff30/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca33e61146172de7418e67b74bbdff30/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/ca33e61146172de7418e67b74bbdff30/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca33e61146172de7418e67b74bbdff30/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/ca33e61146172de7418e67b74bbdff30/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca33e61146172de7418e67b74bbdff30/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/ca33e61146172de7418e67b74bbdff30/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca33e61146172de7418e67b74bbdff30/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/ca33e61146172de7418e67b74bbdff30/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca33e61146172de7418e67b74bbdff30/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/ca33e61146172de7418e67b74bbdff30/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=0.200000, 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=0.193500, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312705, epoch loss=1.935533
Batch=479, step=1680, lr=0.193250, batch loss=0.276293, epoch loss=2.211827
Batch=539, step=1740, lr=0.193000, batch loss=0.209805, epoch loss=2.421632
Batch=599, step=1800, lr=0.192750, batch loss=0.250440, epoch loss=2.672071
Batch=659, step=1860, lr=0.192500, batch loss=0.367161, epoch loss=3.039232
Batch=719, step=1920, lr=0.192250, batch loss=0.354963, epoch loss=3.394195
Batch=779, step=1980, lr=0.192000, batch loss=0.381346, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339645, epoch loss=4.115187
Batch=899, step=2100, lr=0.191500, batch loss=0.295230, epoch loss=4.410417
Batch=959, step=2160, lr=0.191250, batch loss=0.214068, epoch loss=4.624485
Batch=1019, step=2220, lr=0.191000, batch loss=0.330895, epoch loss=4.955380
Batch=1079, step=2280, lr=0.190750, batch loss=0.208336, epoch loss=5.163715
Batch=1139, step=2340, lr=0.190500, batch loss=0.278287, epoch loss=5.442003
Batch=1199, step=2400, lr=0.190250, batch loss=0.220827, epoch loss=5.662829
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662829
Batch=59, step=2460, lr=0.190000, batch loss=0.230401, epoch loss=0.230401
Batch=119, step=2520, lr=0.189750, batch loss=0.195923, epoch loss=0.426324
Batch=179, step=2580, lr=0.189500, batch loss=0.221171, epoch loss=0.647496
Batch=239, step=2640, lr=0.189250, batch loss=0.328096, epoch loss=0.975592
Batch=299, step=2700, lr=0.189000, batch loss=0.202920, epoch loss=1.178511
Batch=359, step=2760, lr=0.188750, batch loss=0.288277, epoch loss=1.466789
Batch=419, step=2820, lr=0.188500, batch loss=0.280169, epoch loss=1.746958
Batch=479, step=2880, lr=0.188250, batch loss=0.251462, epoch loss=1.998420
Batch=539, step=2940, lr=0.188000, batch loss=0.191274, epoch loss=2.189693
Batch=599, step=3000, lr=0.187750, batch loss=0.224972, epoch loss=2.414665
Batch=659, step=3060, lr=0.187500, batch loss=0.335764, epoch loss=2.750430
Batch=719, step=3120, lr=0.187250, batch loss=0.331419, epoch loss=3.081849
Batch=779, step=3180, lr=0.187000, batch loss=0.357915, epoch loss=3.439763
Batch=839, step=3240, lr=0.186750, batch loss=0.325619, epoch loss=3.765382
Batch=899, step=3300, lr=0.186500, batch loss=0.292356, epoch loss=4.057738
Batch=959, step=3360, lr=0.186000, batch loss=0.244976, epoch loss=4.302713
Batch=1019, step=3420, lr=0.186000, batch loss=0.361592, epoch loss=4.664305
Batch=1079, step=3480, lr=0.185750, batch loss=0.222362, epoch loss=4.886668
Batch=1139, step=3540, lr=0.185500, batch loss=0.263846, epoch loss=5.150514
Batch=1199, step=3600, lr=0.185250, batch loss=0.199983, epoch loss=5.350497
Epoch=2, step=3600, lr=0.185250, epoch loss=5.350497
Batch=59, step=3660, lr=0.185000, batch loss=0.221305, epoch loss=0.221305
Batch=119, step=3720, lr=0.184750, batch loss=0.184891, epoch loss=0.406196
Batch=179, step=3780, lr=0.184500, batch loss=0.211367, epoch loss=0.617563
Batch=239, step=3840, lr=0.184250, batch loss=0.317033, epoch loss=0.934596
Batch=299, step=3900, lr=0.184000, batch loss=0.209046, epoch loss=1.143642
Batch=359, step=3960, lr=0.183750, batch loss=0.285781, epoch loss=1.429423
Batch=419, step=4020, lr=0.183500, batch loss=0.278128, epoch loss=1.707551
Batch=479, step=4080, lr=0.183250, batch loss=0.255095, epoch loss=1.962646
Batch=539, step=4140, lr=0.183000, batch loss=0.199782, epoch loss=2.162428
Batch=599, step=4200, lr=0.182750, batch loss=0.242813, epoch loss=2.405241
Batch=659, step=4260, lr=0.182500, batch loss=0.327659, epoch loss=2.732901
Batch=719, step=4320, lr=0.182250, batch loss=0.330986, epoch loss=3.063887
Batch=779, step=4380, lr=0.182000, batch loss=0.349608, epoch loss=3.413495
Batch=839, step=4440, lr=0.181750, batch loss=0.317971, epoch loss=3.731466
Batch=899, step=4500, lr=0.181500, batch loss=0.285573, epoch loss=4.017039
Batch=959, step=4560, lr=0.181250, batch loss=0.239964, epoch loss=4.257003
Batch=1019, step=4620, lr=0.181000, batch loss=0.332659, epoch loss=4.589662
Batch=1079, step=4680, lr=0.180750, batch loss=0.196027, epoch loss=4.785689
Batch=1139, step=4740, lr=0.180500, batch loss=0.228950, epoch loss=5.014639
Batch=1199, step=4800, lr=0.180250, batch loss=0.193246, epoch loss=5.207885
Epoch=3, step=4800, lr=0.180250, epoch loss=5.207885
Batch=59, step=4860, lr=0.180000, batch loss=0.234383, epoch loss=0.234383
Batch=119, step=4920, lr=0.179750, batch loss=0.191891, epoch loss=0.426274
Batch=179, step=4980, lr=0.179500, batch loss=0.205456, epoch loss=0.631729
Batch=239, step=5040, lr=0.179250, batch loss=0.306251, epoch loss=0.937980
Batch=299, step=5100, lr=0.179000, batch loss=0.201331, epoch loss=1.139311
Batch=359, step=5160, lr=0.178750, batch loss=0.273721, epoch loss=1.413032
Batch=419, step=5220, lr=0.178500, batch loss=0.264076, epoch loss=1.677109
Batch=479, step=5280, lr=0.178250, batch loss=0.240434, epoch loss=1.917542
Batch=539, step=5340, lr=0.178000, batch loss=0.190972, epoch loss=2.108515
Batch=599, step=5400, lr=0.177750, batch loss=0.230533, epoch loss=2.339048
Batch=659, step=5460, lr=0.177500, batch loss=0.324543, epoch loss=2.663591
Batch=719, step=5520, lr=0.177250, batch loss=0.331829, epoch loss=2.995420
Batch=779, step=5580, lr=0.177000, batch loss=0.342035, epoch loss=3.337455
Batch=839, step=5640, lr=0.176750, batch loss=0.308977, epoch loss=3.646432
Batch=899, step=5700, lr=0.176500, batch loss=0.272327, epoch loss=3.918758
Batch=959, step=5760, lr=0.176250, batch loss=0.215641, epoch loss=4.134400
Batch=1019, step=5820, lr=0.176000, batch loss=0.337342, epoch loss=4.471742
Batch=1079, step=5880, lr=0.175750, batch loss=0.192055, epoch loss=4.663797
Batch=1139, step=5940, lr=0.175500, batch loss=0.221364, epoch loss=4.885160
Batch=1199, step=6000, lr=0.175250, batch loss=0.186290, epoch loss=5.071451
Epoch=4, step=6000, lr=0.175250, epoch loss=5.071451
Batch=59, step=6060, lr=0.175000, batch loss=0.223195, epoch loss=0.223195
Batch=119, step=6120, lr=0.174750, batch loss=0.186231, epoch loss=0.409426
Batch=179, step=6180, lr=0.174500, batch loss=0.199960, epoch loss=0.609385
Batch=239, step=6240, lr=0.174250, batch loss=0.299093, epoch loss=0.908478
Batch=299, step=6300, lr=0.174000, batch loss=0.215091, epoch loss=1.123569
Batch=359, step=6360, lr=0.173750, batch loss=0.279225, epoch loss=1.402795
Batch=419, step=6420, lr=0.173500, batch loss=0.275009, epoch loss=1.677803
Batch=479, step=6480, lr=0.173250, batch loss=0.251711, epoch loss=1.929514
Batch=539, step=6540, lr=0.173000, batch loss=0.188266, epoch loss=2.117781
Batch=599, step=6600, lr=0.172750, batch loss=0.229697, epoch loss=2.347478
Batch=659, step=6660, lr=0.172500, batch loss=0.312402, epoch loss=2.659881
Batch=719, step=6720, lr=0.172250, batch loss=0.316361, epoch loss=2.976242
Batch=779, step=6780, lr=0.172000, batch loss=0.327419, epoch loss=3.303660
Batch=839, step=6840, lr=0.171750, batch loss=0.298750, epoch loss=3.602410
Batch=899, step=6900, lr=0.171500, batch loss=0.260596, epoch loss=3.863007
Batch=959, step=6960, lr=0.171250, batch loss=0.190333, epoch loss=4.053340
Batch=1019, step=7020, lr=0.171000, batch loss=0.313040, epoch loss=4.366380
Batch=1079, step=7080, lr=0.170750, batch loss=0.186810, epoch loss=4.553190
Batch=1139, step=7140, lr=0.170500, batch loss=0.218472, epoch loss=4.771662
Batch=1199, step=7200, lr=0.170250, batch loss=0.180867, epoch loss=4.952529
Epoch=5, step=7200, lr=0.170250, epoch loss=4.952529
Batch=59, step=7260, lr=0.170000, batch loss=0.234753, epoch loss=0.234753
Batch=119, step=7320, lr=0.169750, batch loss=0.183073, epoch loss=0.417826
Batch=179, step=7380, lr=0.169500, batch loss=0.195721, epoch loss=0.613547
Batch=239, step=7440, lr=0.169250, batch loss=0.289866, epoch loss=0.903412
Batch=299, step=7500, lr=0.169000, batch loss=0.199178, epoch loss=1.102590
Batch=359, step=7560, lr=0.168750, batch loss=0.260198, epoch loss=1.362789
Batch=419, step=7620, lr=0.168500, batch loss=0.255089, epoch loss=1.617878
Batch=479, step=7680, lr=0.168250, batch loss=0.237264, epoch loss=1.855142
Batch=539, step=7740, lr=0.168000, batch loss=0.187166, epoch loss=2.042308
Batch=599, step=7800, lr=0.167750, batch loss=0.226259, epoch loss=2.268567
Batch=659, step=7860, lr=0.167500, batch loss=0.304779, epoch loss=2.573346
Batch=719, step=7920, lr=0.167250, batch loss=0.306773, epoch loss=2.880118
Batch=779, step=7980, lr=0.167000, batch loss=0.320322, epoch loss=3.200440
Batch=839, step=8040, lr=0.166750, batch loss=0.296006, epoch loss=3.496446
Batch=899, step=8100, lr=0.166500, batch loss=0.258324, epoch loss=3.754771
Batch=959, step=8160, lr=0.166250, batch loss=0.208261, epoch loss=3.963032
Batch=1019, step=8220, lr=0.166000, batch loss=0.320541, epoch loss=4.283573
Batch=1079, step=8280, lr=0.165750, batch loss=0.178404, epoch loss=4.461977
Batch=1139, step=8340, lr=0.165500, batch loss=0.211944, epoch loss=4.673920
Batch=1199, step=8400, lr=0.165250, batch loss=0.172715, epoch loss=4.846636
Epoch=6, step=8400, lr=0.165250, epoch loss=4.846636
Batch=59, step=8460, lr=0.165000, batch loss=0.199335, epoch loss=0.199335
Batch=119, step=8520, lr=0.164750, batch loss=0.173500, epoch loss=0.372835
Batch=179, step=8580, lr=0.164500, batch loss=0.187188, epoch loss=0.560023
Batch=239, step=8640, lr=0.164250, batch loss=0.276508, epoch loss=0.836531
Batch=299, step=8700, lr=0.164000, batch loss=0.192706, epoch loss=1.029237
Batch=359, step=8760, lr=0.163750, batch loss=0.248910, epoch loss=1.278147
Batch=419, step=8820, lr=0.163500, batch loss=0.242722, epoch loss=1.520869
Batch=479, step=8880, lr=0.163250, batch loss=0.229639, epoch loss=1.750508
Batch=539, step=8940, lr=0.163000, batch loss=0.175872, epoch loss=1.926381
Batch=599, step=9000, lr=0.162750, batch loss=0.219579, epoch loss=2.145960
Batch=659, step=9060, lr=0.162500, batch loss=0.292415, epoch loss=2.438375
Batch=719, step=9120, lr=0.162250, batch loss=0.295732, epoch loss=2.734107
Batch=779, step=9180, lr=0.162000, batch loss=0.312829, epoch loss=3.046936
Batch=839, step=9240, lr=0.161750, batch loss=0.281109, epoch loss=3.328045
Batch=899, step=9300, lr=0.161500, batch loss=0.252070, epoch loss=3.580115
Batch=959, step=9360, lr=0.161250, batch loss=0.187646, epoch loss=3.767761
Batch=1019, step=9420, lr=0.161000, batch loss=0.320139, epoch loss=4.087900
Batch=1079, step=9480, lr=0.160750, batch loss=0.198018, epoch loss=4.285918
Batch=1139, step=9540, lr=0.160500, batch loss=0.212058, epoch loss=4.497975
Batch=1199, step=9600, lr=0.160250, batch loss=0.167149, epoch loss=4.665124
Epoch=7, step=9600, lr=0.160250, epoch loss=4.665124
Batch=59, step=9660, lr=0.160000, batch loss=0.201059, epoch loss=0.201059
Batch=119, step=9720, lr=0.159750, batch loss=0.163620, epoch loss=0.364679
Batch=179, step=9780, lr=0.159500, batch loss=0.177847, epoch loss=0.542525
Batch=239, step=9840, lr=0.159250, batch loss=0.261717, epoch loss=0.804242
Batch=299, step=9900, lr=0.159000, batch loss=0.181803, epoch loss=0.986045
Batch=359, step=9960, lr=0.158750, batch loss=0.239727, epoch loss=1.225772
Batch=419, step=10020, lr=0.158500, batch loss=0.231406, epoch loss=1.457178
Batch=479, step=10080, lr=0.158250, batch loss=0.213247, epoch loss=1.670425
Batch=539, step=10140, lr=0.158000, batch loss=0.170210, epoch loss=1.840635
Batch=599, step=10200, lr=0.157750, batch loss=0.201913, epoch loss=2.042548
Batch=659, step=10260, lr=0.157500, batch loss=0.281054, epoch loss=2.323603
Batch=719, step=10320, lr=0.157250, batch loss=0.285309, epoch loss=2.608912
Batch=779, step=10380, lr=0.157000, batch loss=0.293461, epoch loss=2.902372
Batch=839, step=10440, lr=0.156750, batch loss=0.266538, epoch loss=3.168910
Batch=899, step=10500, lr=0.156500, batch loss=0.241159, epoch loss=3.410069
Batch=959, step=10560, lr=0.156250, batch loss=0.197703, epoch loss=3.607772
Batch=1019, step=10620, lr=0.156000, batch loss=0.279915, epoch loss=3.887687
Batch=1079, step=10680, lr=0.155750, batch loss=0.167133, epoch loss=4.054820
Batch=1139, step=10740, lr=0.155500, batch loss=0.193571, epoch loss=4.248391
Batch=1199, step=10800, lr=0.155250, batch loss=0.153300, epoch loss=4.401691
Epoch=8, step=10800, lr=0.155250, epoch loss=4.401691
Batch=59, step=10860, lr=0.155000, batch loss=0.183081, epoch loss=0.183081
Batch=119, step=10920, lr=0.154750, batch loss=0.153590, epoch loss=0.336670
Batch=179, step=10980, lr=0.154500, batch loss=0.166310, epoch loss=0.502981
Batch=239, step=11040, lr=0.154250, batch loss=0.242899, epoch loss=0.745880
Batch=299, step=11100, lr=0.154000, batch loss=0.165121, epoch loss=0.911001
Batch=359, step=11160, lr=0.153750, batch loss=0.225487, epoch loss=1.136488
Batch=419, step=11220, lr=0.153500, batch loss=0.226346, epoch loss=1.362833
Batch=479, step=11280, lr=0.153250, batch loss=0.202404, epoch loss=1.565237
Batch=539, step=11340, lr=0.153000, batch loss=0.158304, epoch loss=1.723542
Batch=599, step=11400, lr=0.152750, batch loss=0.179657, epoch loss=1.903199
Batch=659, step=11460, lr=0.152500, batch loss=0.262556, epoch loss=2.165755
Batch=719, step=11520, lr=0.152250, batch loss=0.253584, epoch loss=2.419339
Batch=779, step=11580, lr=0.152000, batch loss=0.268916, epoch loss=2.688255
Batch=839, step=11640, lr=0.151750, batch loss=0.256066, epoch loss=2.944321
Batch=899, step=11700, lr=0.151500, batch loss=0.214766, epoch loss=3.159087
Batch=959, step=11760, lr=0.151250, batch loss=0.162243, epoch loss=3.321329
Batch=1019, step=11820, lr=0.151000, batch loss=0.257410, epoch loss=3.578739
Batch=1079, step=11880, lr=0.150750, batch loss=0.141494, epoch loss=3.720233
Batch=1139, step=11940, lr=0.150500, batch loss=0.178931, epoch loss=3.899164
Batch=1199, step=12000, lr=0.150250, batch loss=0.138714, epoch loss=4.037877
Epoch=9, step=12000, lr=0.150250, epoch loss=4.037877
Batch=59, step=12060, lr=0.150000, batch loss=0.160776, epoch loss=0.160776
Batch=119, step=12120, lr=0.149750, batch loss=0.135850, epoch loss=0.296625
Batch=179, step=12180, lr=0.149500, batch loss=0.149706, epoch loss=0.446331
Batch=239, step=12240, lr=0.149250, batch loss=0.217230, epoch loss=0.663561
Batch=299, step=12300, lr=0.149000, batch loss=0.141400, epoch loss=0.804961
Batch=359, step=12360, lr=0.148750, batch loss=0.195702, epoch loss=1.000663
Batch=419, step=12420, lr=0.148500, batch loss=0.205125, epoch loss=1.205788
Batch=479, step=12480, lr=0.148250, batch loss=0.177439, epoch loss=1.383227
Batch=539, step=12540, lr=0.148000, batch loss=0.141576, epoch loss=1.524803
Batch=599, step=12600, lr=0.147750, batch loss=0.147562, epoch loss=1.672365
Batch=659, step=12660, lr=0.147500, batch loss=0.225841, epoch loss=1.898206
Batch=719, step=12720, lr=0.147250, batch loss=0.235109, epoch loss=2.133315
Batch=779, step=12780, lr=0.147000, batch loss=0.263977, epoch loss=2.397292
Batch=839, step=12840, lr=0.146750, batch loss=0.232582, epoch loss=2.629874
Batch=899, step=12900, lr=0.146500, batch loss=0.211141, epoch loss=2.841015
Batch=959, step=12960, lr=0.146250, batch loss=0.150916, epoch loss=2.991932
Batch=1019, step=13020, lr=0.146000, batch loss=0.264289, epoch loss=3.256221
Batch=1079, step=13080, lr=0.145750, batch loss=0.111444, epoch loss=3.367665
Batch=1139, step=13140, lr=0.145500, batch loss=0.151671, epoch loss=3.519336
Batch=1199, step=13200, lr=0.145250, batch loss=0.115668, epoch loss=3.635004
Epoch=10, step=13200, lr=0.145250, epoch loss=3.635004
Batch=59, step=13260, lr=0.145000, batch loss=0.143059, epoch loss=0.143059
Batch=119, step=13320, lr=0.144750, batch loss=0.125466, epoch loss=0.268525
Batch=179, step=13380, lr=0.144500, batch loss=0.128428, epoch loss=0.396953
Batch=239, step=13440, lr=0.144250, batch loss=0.187115, epoch loss=0.584068
Batch=299, step=13500, lr=0.144000, batch loss=0.120796, epoch loss=0.704865
Batch=359, step=13560, lr=0.143750, batch loss=0.161001, epoch loss=0.865865
Batch=419, step=13620, lr=0.143500, batch loss=0.160141, epoch loss=1.026006
Batch=479, step=13680, lr=0.143250, batch loss=0.145020, epoch loss=1.171026
Batch=539, step=13740, lr=0.143000, batch loss=0.117532, epoch loss=1.288558
Batch=599, step=13800, lr=0.142750, batch loss=0.118328, epoch loss=1.406886
Batch=659, step=13860, lr=0.142500, batch loss=0.173160, epoch loss=1.580046
Batch=719, step=13920, lr=0.142250, batch loss=0.175190, epoch loss=1.755236
Batch=779, step=13980, lr=0.142000, batch loss=0.194289, epoch loss=1.949525
Batch=839, step=14040, lr=0.141750, batch loss=0.182973, epoch loss=2.132498
Batch=899, step=14100, lr=0.141500, batch loss=0.155621, epoch loss=2.288119
Batch=959, step=14160, lr=0.141250, batch loss=0.131922, epoch loss=2.420041
Batch=1019, step=14220, lr=0.141000, batch loss=0.273954, epoch loss=2.693995
Batch=1079, step=14280, lr=0.140750, batch loss=0.080318, epoch loss=2.774313
Batch=1139, step=14340, lr=0.140500, batch loss=0.124583, epoch loss=2.898896
Batch=1199, step=14400, lr=0.140250, batch loss=0.087555, epoch loss=2.986451
Epoch=11, step=14400, lr=0.140250, epoch loss=2.986451
Batch=59, step=14460, lr=0.140000, batch loss=0.108956, epoch loss=0.108956
Batch=119, step=14520, lr=0.139750, batch loss=0.107415, epoch loss=0.216370
Batch=179, step=14580, lr=0.139500, batch loss=0.102845, epoch loss=0.319215
Batch=239, step=14640, lr=0.139250, batch loss=0.137486, epoch loss=0.456701
Batch=299, step=14700, lr=0.139000, batch loss=0.076081, epoch loss=0.532782
Batch=359, step=14760, lr=0.138750, batch loss=0.115961, epoch loss=0.648743
Batch=419, step=14820, lr=0.138500, batch loss=0.125297, epoch loss=0.774040
Batch=479, step=14880, lr=0.138250, batch loss=0.100667, epoch loss=0.874707
Batch=539, step=14940, lr=0.138000, batch loss=0.114941, epoch loss=0.989648
Batch=599, step=15000, lr=0.137750, batch loss=0.086978, epoch loss=1.076626
Batch=659, step=15060, lr=0.137500, batch loss=0.123511, epoch loss=1.200137
Batch=719, step=15120, lr=0.137250, batch loss=0.127418, epoch loss=1.327555
Batch=779, step=15180, lr=0.137000, batch loss=0.148578, epoch loss=1.476133
Batch=839, step=15240, lr=0.136750, batch loss=0.147807, epoch loss=1.623940
Batch=899, step=15300, lr=0.136500, batch loss=0.177022, epoch loss=1.800961
Batch=959, step=15360, lr=0.136250, batch loss=0.088287, epoch loss=1.889248
Batch=1019, step=15420, lr=0.136000, batch loss=0.167109, epoch loss=2.056357
Batch=1079, step=15480, lr=0.135750, batch loss=0.039899, epoch loss=2.096256
Batch=1139, step=15540, lr=0.135500, batch loss=0.096714, epoch loss=2.192971
Batch=1199, step=15600, lr=0.135250, batch loss=0.056452, epoch loss=2.249422
Epoch=12, step=15600, lr=0.135250, epoch loss=2.249422
Batch=59, step=15660, lr=0.135000, batch loss=0.073272, epoch loss=0.073272
Batch=119, step=15720, lr=0.134750, batch loss=0.128584, epoch loss=0.201855
Batch=179, step=15780, lr=0.134500, batch loss=0.092506, epoch loss=0.294362
Batch=239, step=15840, lr=0.134250, batch loss=0.091002, epoch loss=0.385363
Batch=299, step=15900, lr=0.134000, batch loss=0.035866, epoch loss=0.421229
Batch=359, step=15960, lr=0.133750, batch loss=0.080610, epoch loss=0.501840
Batch=419, step=16020, lr=0.133500, batch loss=0.075518, epoch loss=0.577358
Batch=479, step=16080, lr=0.133250, batch loss=0.060216, epoch loss=0.637574
Batch=539, step=16140, lr=0.133000, batch loss=0.065016, epoch loss=0.702590
Batch=599, step=16200, lr=0.132750, batch loss=0.158302, epoch loss=0.860891
Batch=659, step=16260, lr=0.132500, batch loss=0.089386, epoch loss=0.950277
Batch=719, step=16320, lr=0.132250, batch loss=0.118343, epoch loss=1.068621
Batch=779, step=16380, lr=0.132000, batch loss=0.295095, epoch loss=1.363715
Batch=839, step=16440, lr=0.131750, batch loss=0.090499, epoch loss=1.454214
Batch=899, step=16500, lr=0.131500, batch loss=0.078894, epoch loss=1.533109
Batch=959, step=16560, lr=0.131250, batch loss=0.030617, epoch loss=1.563726
Batch=1019, step=16620, lr=0.131000, batch loss=0.051736, epoch loss=1.615461
Batch=1079, step=16680, lr=0.130750, batch loss=0.048837, epoch loss=1.664299
Batch=1139, step=16740, lr=0.130500, batch loss=0.096597, epoch loss=1.760896
Batch=1199, step=16800, lr=0.130250, batch loss=0.046877, epoch loss=1.807772
Epoch=13, step=16800, lr=0.130250, epoch loss=1.807772
Batch=59, step=16860, lr=0.130000, batch loss=0.033440, epoch loss=0.033440
Batch=119, step=16920, lr=0.129750, batch loss=0.033280, epoch loss=0.066720
Batch=179, step=16980, lr=0.129500, batch loss=0.041670, epoch loss=0.108390
Batch=239, step=17040, lr=0.129250, batch loss=0.056656, epoch loss=0.165046
Batch=299, step=17100, lr=0.129000, batch loss=0.019246, epoch loss=0.184292
Batch=359, step=17160, lr=0.128750, batch loss=0.041844, epoch loss=0.226136
Batch=419, step=17220, lr=0.128500, batch loss=0.063085, epoch loss=0.289221
Batch=479, step=17280, lr=0.128250, batch loss=0.023038, epoch loss=0.312258
Batch=539, step=17340, lr=0.128000, batch loss=0.027046, epoch loss=0.339304
Batch=599, step=17400, lr=0.127750, batch loss=0.033575, epoch loss=0.372879
Batch=659, step=17460, lr=0.127500, batch loss=0.045717, epoch loss=0.418596
Batch=719, step=17520, lr=0.127250, batch loss=0.043224, epoch loss=0.461820
Batch=779, step=17580, lr=0.127000, batch loss=0.081219, epoch loss=0.543039
Batch=839, step=17640, lr=0.126750, batch loss=0.206573, epoch loss=0.749613
Batch=899, step=17700, lr=0.126500, batch loss=0.051812, epoch loss=0.801425
Batch=959, step=17760, lr=0.126250, batch loss=0.020573, epoch loss=0.821998
Batch=1019, step=17820, lr=0.126000, batch loss=0.038327, epoch loss=0.860324
Batch=1079, step=17880, lr=0.125750, batch loss=0.016653, epoch loss=0.876977
Batch=1139, step=17940, lr=0.125500, batch loss=0.044474, epoch loss=0.921451
Batch=1199, step=18000, lr=0.125250, batch loss=0.018301, epoch loss=0.939752
Epoch=14, step=18000, lr=0.125250, epoch loss=0.939752
Batch=59, step=18060, lr=0.125000, batch loss=0.012044, epoch loss=0.012044
Batch=119, step=18120, lr=0.124750, batch loss=0.017354, epoch loss=0.029399
Batch=179, step=18180, lr=0.124500, batch loss=0.028169, epoch loss=0.057568
Batch=239, step=18240, lr=0.124250, batch loss=0.031502, epoch loss=0.089069
Batch=299, step=18300, lr=0.124000, batch loss=0.009327, epoch loss=0.098396
Batch=359, step=18360, lr=0.123750, batch loss=0.021542, epoch loss=0.119938
Batch=419, step=18420, lr=0.123500, batch loss=0.034255, epoch loss=0.154193
Batch=479, step=18480, lr=0.123250, batch loss=0.024419, epoch loss=0.178612
Batch=539, step=18540, lr=0.123000, batch loss=0.052277, epoch loss=0.230889
Batch=599, step=18600, lr=0.122750, batch loss=0.026197, epoch loss=0.257086
Batch=659, step=18660, lr=0.122500, batch loss=0.030169, epoch loss=0.287255
Batch=719, step=18720, lr=0.122250, batch loss=0.031047, epoch loss=0.318302
Batch=779, step=18780, lr=0.122000, batch loss=0.077149, epoch loss=0.395451
Batch=839, step=18840, lr=0.121750, batch loss=0.044356, epoch loss=0.439807
Batch=899, step=18900, lr=0.121500, batch loss=0.044875, epoch loss=0.484683
Batch=959, step=18960, lr=0.121250, batch loss=0.014425, epoch loss=0.499108
Batch=1019, step=19020, lr=0.121000, batch loss=0.019370, epoch loss=0.518477
Batch=1079, step=19080, lr=0.120750, batch loss=0.014772, epoch loss=0.533250
Batch=1139, step=19140, lr=0.120500, batch loss=0.029890, epoch loss=0.563139
Batch=1199, step=19200, lr=0.120250, batch loss=0.010997, epoch loss=0.574136
Epoch=15, step=19200, lr=0.120250, epoch loss=0.574136
Batch=59, step=19260, lr=0.120000, batch loss=0.008802, epoch loss=0.008802
Batch=119, step=19320, lr=0.119750, batch loss=0.032939, epoch loss=0.041741
Batch=179, step=19380, lr=0.119500, batch loss=0.083478, epoch loss=0.125219
Batch=239, step=19440, lr=0.119250, batch loss=0.032766, epoch loss=0.157985
Batch=299, step=19500, lr=0.119000, batch loss=0.009794, epoch loss=0.167779
Batch=359, step=19560, lr=0.118750, batch loss=0.023195, epoch loss=0.190974
Batch=419, step=19620, lr=0.118500, batch loss=0.020014, epoch loss=0.210988
Batch=479, step=19680, lr=0.118250, batch loss=0.007962, epoch loss=0.218950
Batch=539, step=19740, lr=0.118000, batch loss=0.017936, epoch loss=0.236886
Batch=599, step=19800, lr=0.117750, batch loss=0.022438, epoch loss=0.259324
Batch=659, step=19860, lr=0.117500, batch loss=0.016398, epoch loss=0.275722
Batch=719, step=19920, lr=0.117250, batch loss=0.036580, epoch loss=0.312302
Batch=779, step=19980, lr=0.117000, batch loss=0.079411, epoch loss=0.391712
Batch=839, step=20040, lr=0.116750, batch loss=0.030269, epoch loss=0.421982
Batch=899, step=20100, lr=0.116500, batch loss=0.030012, epoch loss=0.451994
Batch=959, step=20160, lr=0.116250, batch loss=0.017711, epoch loss=0.469705
Batch=1019, step=20220, lr=0.116000, batch loss=0.023266, epoch loss=0.492971
Batch=1079, step=20280, lr=0.115750, batch loss=0.001765, epoch loss=0.494736
Batch=1139, step=20340, lr=0.115500, batch loss=0.015292, epoch loss=0.510028
Batch=1199, step=20400, lr=0.115250, batch loss=0.006157, epoch loss=0.516185
Epoch=16, step=20400, lr=0.115250, epoch loss=0.516185
Batch=59, step=20460, lr=0.115000, batch loss=0.002842, epoch loss=0.002842
Batch=119, step=20520, lr=0.114750, batch loss=0.009795, epoch loss=0.012637
Batch=179, step=20580, lr=0.114500, batch loss=0.020499, epoch loss=0.033136
Batch=239, step=20640, lr=0.114250, batch loss=0.018351, epoch loss=0.051487
Batch=299, step=20700, lr=0.114000, batch loss=0.007135, epoch loss=0.058623
Batch=359, step=20760, lr=0.113750, batch loss=0.013137, epoch loss=0.071759
Batch=419, step=20820, lr=0.113500, batch loss=0.014700, epoch loss=0.086459
Batch=479, step=20880, lr=0.113250, batch loss=0.003980, epoch loss=0.090439
Batch=539, step=20940, lr=0.113000, batch loss=0.015462, epoch loss=0.105901
Batch=599, step=21000, lr=0.112750, batch loss=0.018216, epoch loss=0.124117
Batch=659, step=21060, lr=0.112500, batch loss=0.014782, epoch loss=0.138899
Batch=719, step=21120, lr=0.112250, batch loss=0.040756, epoch loss=0.179656
Batch=779, step=21180, lr=0.112000, batch loss=0.071966, epoch loss=0.251621
Batch=839, step=21240, lr=0.111750, batch loss=0.025803, epoch loss=0.277424
Batch=899, step=21300, lr=0.111500, batch loss=0.037029, epoch loss=0.314453
Batch=959, step=21360, lr=0.111250, batch loss=0.009695, epoch loss=0.324148
Batch=1019, step=21420, lr=0.111000, batch loss=0.011175, epoch loss=0.335323
Batch=1079, step=21480, lr=0.110750, batch loss=0.000597, epoch loss=0.335920
Batch=1139, step=21540, lr=0.110500, batch loss=0.012843, epoch loss=0.348762
Batch=1199, step=21600, lr=0.110250, batch loss=0.005294, epoch loss=0.354056
Epoch=17, step=21600, lr=0.110250, epoch loss=0.354056
Batch=59, step=21660, lr=0.110000, batch loss=0.001803, epoch loss=0.001803
Batch=119, step=21720, lr=0.109750, batch loss=0.006112, epoch loss=0.007915
Batch=179, step=21780, lr=0.109500, batch loss=0.012494, epoch loss=0.020409
Batch=239, step=21840, lr=0.109250, batch loss=0.011187, epoch loss=0.031596
Batch=299, step=21900, lr=0.109000, batch loss=0.012591, epoch loss=0.044187
Batch=359, step=21960, lr=0.108750, batch loss=0.012611, epoch loss=0.056797
Batch=419, step=22020, lr=0.108500, batch loss=0.012020, epoch loss=0.068818
Batch=479, step=22080, lr=0.108250, batch loss=0.002386, epoch loss=0.071204
Batch=539, step=22140, lr=0.108000, batch loss=0.016474, epoch loss=0.087678
Batch=599, step=22200, lr=0.107750, batch loss=0.016720, epoch loss=0.104398
Batch=659, step=22260, lr=0.107500, batch loss=0.016331, epoch loss=0.120730
Batch=719, step=22320, lr=0.107250, batch loss=0.021497, epoch loss=0.142227
Batch=779, step=22380, lr=0.107000, batch loss=0.028173, epoch loss=0.170399
Batch=839, step=22440, lr=0.106750, batch loss=0.031005, epoch loss=0.201404
Batch=899, step=22500, lr=0.106500, batch loss=0.023342, epoch loss=0.224746
Batch=959, step=22560, lr=0.106250, batch loss=0.010214, epoch loss=0.234960
Batch=1019, step=22620, lr=0.106000, batch loss=0.008396, epoch loss=0.243356
Batch=1079, step=22680, lr=0.105750, batch loss=0.001312, epoch loss=0.244667
Batch=1139, step=22740, lr=0.105500, batch loss=0.010079, epoch loss=0.254746
Batch=1199, step=22800, lr=0.105250, batch loss=0.005517, epoch loss=0.260262
Epoch=18, step=22800, lr=0.105250, epoch loss=0.260262
Batch=59, step=22860, lr=0.105000, batch loss=0.002392, epoch loss=0.002392
Batch=119, step=22920, lr=0.104750, batch loss=0.004621, epoch loss=0.007013
Batch=179, step=22980, lr=0.104500, batch loss=0.012409, epoch loss=0.019422
Batch=239, step=23040, lr=0.104250, batch loss=0.008299, epoch loss=0.027722
Batch=299, step=23100, lr=0.104000, batch loss=0.008509, epoch loss=0.036230
Batch=359, step=23160, lr=0.103750, batch loss=0.012252, epoch loss=0.048482
Batch=419, step=23220, lr=0.103500, batch loss=0.011082, epoch loss=0.059565
Batch=479, step=23280, lr=0.103250, batch loss=0.003135, epoch loss=0.062699
Batch=539, step=23340, lr=0.103000, batch loss=0.016263, epoch loss=0.078963
Batch=599, step=23400, lr=0.102750, batch loss=0.013623, epoch loss=0.092586
Batch=659, step=23460, lr=0.102500, batch loss=0.011248, epoch loss=0.103834
Batch=719, step=23520, lr=0.102250, batch loss=0.014383, epoch loss=0.118218
Batch=779, step=23580, lr=0.102000, batch loss=0.022126, epoch loss=0.140343
Batch=839, step=23640, lr=0.101750, batch loss=0.024345, epoch loss=0.164688
Batch=899, step=23700, lr=0.101500, batch loss=0.023512, epoch loss=0.188200
Batch=959, step=23760, lr=0.101250, batch loss=0.007760, epoch loss=0.195960
Batch=1019, step=23820, lr=0.101000, batch loss=0.007713, epoch loss=0.203673
Batch=1079, step=23880, lr=0.100750, batch loss=0.000824, epoch loss=0.204497
Batch=1139, step=23940, lr=0.100500, batch loss=0.008452, epoch loss=0.212949
Batch=1199, step=24000, lr=0.100250, batch loss=0.004382, epoch loss=0.217331
Epoch=19, step=24000, lr=0.100250, epoch loss=0.217331


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 22:15.45 ---> saved as "d35effa352846eb5ba819eb4037f03127244589da08545aa8ab46d49efca1ae1"
Job succeeded
2025-03-20 22:15.46: Job succeeded