debian-12-5.3+flambda_opam-2.3

2025-03-21 15:22.29: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f6ea3750d181d26e3fd23df51a415f362cff8525) (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 f6ea3750
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


2025-03-21 15:22.29: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:36b0564f1768719da7bdf896155176e645f1eed290256ed08bf88aedbed5db96-debian-12-5.3+flambda_opam-2.3-14a85f4c565cc30186c137b219fc7fa2"
2025-03-21 15:22.29: 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"))
)


2025-03-21 15:22.29: Waiting for resource in pool OCluster
2025-03-21 15:22.29: Waiting for worker…
2025-03-21 15:22.29: Got resource from pool OCluster
Building on asteria.caelum.ci.dev
HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests
HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN)


(from ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:36b0564f1768719da7bdf896155176e645f1eed290256ed08bf88aedbed5db96)
2025-03-21 15:22.32 ---> 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"))
2025-03-21 15:22.32 ---> 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
2025-03-21 15:22.32 ---> 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
2025-03-21 15:22.32 ---> using "21f2427316ecd3b2b1d06245ccc85b94bbe86b75b44d925374a8e2c678f4916d" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 15:22.32 ---> 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..acfb0e6e94  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)
2025-03-21 15:22.32 ---> using "af53f33f5b819debc22b733209c9b4785d8a42ec3a79f8a616d660e6188b4b5a" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 15:22.32 ---> using "b323d96ffeacb25bfe6adb5928a31ac9ec899d21475a20216b0092dd5e664a7b" 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)
2025-03-21 15:22.32 ---> using "5f054a69009203df3f20573d4db5ccf09ae607dbf7085fcf65509d3b4f430b0c" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 15:22.32 ---> using "bb5d4cd51cb16649a0b1a07c13f42656728e057e546d3328dcdcc17c1e452017" 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 3s (3298 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) ...
2025-03-21 15:22.32 ---> using "8238c45edf3cd1d100506951c4dcace83467710698b325f4e5379b732f1032f5" 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 angstrom.0.16.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigstringaf.0.10.0  (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 dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved 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 ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> 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 cppo.1.8.0
-> installed multicore-magic.2.3.1
-> installed ocaml-syntax-shims.1.0.0
-> 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 fieldslib.v0.17.0
-> installed variantslib.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)
2025-03-21 15:22.32 ---> using "d9717d0a09483614d783e8e0c2ae1544a95a9829a9989513258fe2f9a483585c" from cache


/src: (copy (src .) (dst /src))
2025-03-21 15:22.32 ---> saved as "aafbb45b2422d07350c7260dbfe647559ad0c9082c6cb9f6db8911bbc1f9c83d"


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76727ac3d5dec06cd576c1eb3d92acad/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/76727ac3d5dec06cd576c1eb3d92acad/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76727ac3d5dec06cd576c1eb3d92acad/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/76727ac3d5dec06cd576c1eb3d92acad/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76727ac3d5dec06cd576c1eb3d92acad/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/1b8aac4f80bd683b1f67f25ed39b0912/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/76727ac3d5dec06cd576c1eb3d92acad/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76727ac3d5dec06cd576c1eb3d92acad/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/76727ac3d5dec06cd576c1eb3d92acad/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76727ac3d5dec06cd576c1eb3d92acad/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/76727ac3d5dec06cd576c1eb3d92acad/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76727ac3d5dec06cd576c1eb3d92acad/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/76727ac3d5dec06cd576c1eb3d92acad/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76727ac3d5dec06cd576c1eb3d92acad/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/76727ac3d5dec06cd576c1eb3d92acad/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76727ac3d5dec06cd576c1eb3d92acad/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/76727ac3d5dec06cd576c1eb3d92acad/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76727ac3d5dec06cd576c1eb3d92acad/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/76727ac3d5dec06cd576c1eb3d92acad/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76727ac3d5dec06cd576c1eb3d92acad/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/76727ac3d5dec06cd576c1eb3d92acad/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=0.198250, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.821468, epoch loss=39.841549
Batch=539, step=540, lr=0.198000, batch loss=0.691338, epoch loss=40.532887
Batch=599, step=600, lr=0.197750, batch loss=1.063206, epoch loss=41.596093
Batch=659, step=660, lr=0.197500, batch loss=0.483478, epoch loss=42.079571
Batch=719, step=720, lr=0.197250, batch loss=0.411326, epoch loss=42.490898
Batch=779, step=780, lr=0.197000, batch loss=0.470075, epoch loss=42.960972
Batch=839, step=840, lr=0.196750, batch loss=0.446754, epoch loss=43.407726
Batch=899, step=900, lr=0.196500, batch loss=0.382734, epoch loss=43.790461
Batch=959, step=960, lr=0.196250, batch loss=0.244931, epoch loss=44.035392
Batch=1019, step=1020, lr=0.196000, batch loss=0.466979, epoch loss=44.502372
Batch=1079, step=1080, lr=0.195750, batch loss=0.248417, epoch loss=44.750788
Batch=1139, step=1140, lr=0.195500, batch loss=0.317817, epoch loss=45.068605
Batch=1199, step=1200, lr=0.195250, batch loss=0.263596, epoch loss=45.332201
Epoch=0, step=1200, lr=0.195250, epoch loss=45.332201
Batch=59, step=1260, lr=0.195000, batch loss=0.262061, epoch loss=0.262061
Batch=119, step=1320, lr=0.194750, batch loss=0.205387, epoch loss=0.467448
Batch=179, step=1380, lr=0.194500, batch loss=0.243651, epoch loss=0.711099
Batch=239, step=1440, lr=0.194250, batch loss=0.347762, epoch loss=1.058861
Batch=299, step=1500, lr=0.194000, batch loss=0.247603, epoch loss=1.306463
Batch=359, step=1560, lr=0.193750, batch loss=0.316389, epoch loss=1.622852
Batch=419, step=1620, lr=0.193500, batch loss=0.308846, epoch loss=1.931698
Batch=479, step=1680, lr=0.193250, batch loss=0.275052, epoch loss=2.206750
Batch=539, step=1740, lr=0.193000, batch loss=0.210887, epoch loss=2.417637
Batch=599, step=1800, lr=0.192750, batch loss=0.261849, epoch loss=2.679486
Batch=659, step=1860, lr=0.192500, batch loss=0.375706, epoch loss=3.055191
Batch=719, step=1920, lr=0.192250, batch loss=0.357921, epoch loss=3.413113
Batch=779, step=1980, lr=0.192000, batch loss=0.386996, epoch loss=3.800108
Batch=839, step=2040, lr=0.191750, batch loss=0.346378, epoch loss=4.146487
Batch=899, step=2100, lr=0.191500, batch loss=0.319125, epoch loss=4.465612
Batch=959, step=2160, lr=0.191250, batch loss=0.246311, epoch loss=4.711923
Batch=1019, step=2220, lr=0.191000, batch loss=0.377695, epoch loss=5.089618
Batch=1079, step=2280, lr=0.190750, batch loss=0.216504, epoch loss=5.306122
Batch=1139, step=2340, lr=0.190500, batch loss=0.265947, epoch loss=5.572069
Batch=1199, step=2400, lr=0.190250, batch loss=0.212202, epoch loss=5.784271
Epoch=1, step=2400, lr=0.190250, epoch loss=5.784271
Batch=59, step=2460, lr=0.190000, batch loss=0.233794, epoch loss=0.233794
Batch=119, step=2520, lr=0.189750, batch loss=0.195959, epoch loss=0.429753
Batch=179, step=2580, lr=0.189500, batch loss=0.221247, epoch loss=0.651000
Batch=239, step=2640, lr=0.189250, batch loss=0.329011, epoch loss=0.980010
Batch=299, step=2700, lr=0.189000, batch loss=0.207000, epoch loss=1.187011
Batch=359, step=2760, lr=0.188750, batch loss=0.292758, epoch loss=1.479768
Batch=419, step=2820, lr=0.188500, batch loss=0.281216, epoch loss=1.760984
Batch=479, step=2880, lr=0.188250, batch loss=0.255321, epoch loss=2.016305
Batch=539, step=2940, lr=0.188000, batch loss=0.196075, epoch loss=2.212380
Batch=599, step=3000, lr=0.187750, batch loss=0.240748, epoch loss=2.453128
Batch=659, step=3060, lr=0.187500, batch loss=0.348711, epoch loss=2.801839
Batch=719, step=3120, lr=0.187250, batch loss=0.347763, epoch loss=3.149602
Batch=779, step=3180, lr=0.187000, batch loss=0.364224, epoch loss=3.513826
Batch=839, step=3240, lr=0.186750, batch loss=0.324788, epoch loss=3.838614
Batch=899, step=3300, lr=0.186500, batch loss=0.289063, epoch loss=4.127677
Batch=959, step=3360, lr=0.186250, batch loss=0.211279, epoch loss=4.338956
Batch=1019, step=3420, lr=0.186000, batch loss=0.308415, epoch loss=4.647371
Batch=1079, step=3480, lr=0.185750, batch loss=0.174633, epoch loss=4.822004
Batch=1139, step=3540, lr=0.185500, batch loss=0.231638, epoch loss=5.053642
Batch=1199, step=3600, lr=0.185250, batch loss=0.199030, epoch loss=5.252672
Epoch=2, step=3600, lr=0.185250, epoch loss=5.252672
Batch=59, step=3660, lr=0.185000, batch loss=0.226799, epoch loss=0.226799
Batch=119, step=3720, lr=0.184750, batch loss=0.192050, epoch loss=0.418849
Batch=179, step=3780, lr=0.184500, batch loss=0.211058, epoch loss=0.629907
Batch=239, step=3840, lr=0.184250, batch loss=0.317851, epoch loss=0.947758
Batch=299, step=3900, lr=0.184000, batch loss=0.207365, epoch loss=1.155123
Batch=359, step=3960, lr=0.183750, batch loss=0.286537, epoch loss=1.441660
Batch=419, step=4020, lr=0.183500, batch loss=0.279989, epoch loss=1.721649
Batch=479, step=4080, lr=0.183250, batch loss=0.254150, epoch loss=1.975799
Batch=539, step=4140, lr=0.183000, batch loss=0.203195, epoch loss=2.178994
Batch=599, step=4200, lr=0.182750, batch loss=0.248914, epoch loss=2.427908
Batch=659, step=4260, lr=0.182500, batch loss=0.330545, epoch loss=2.758453
Batch=719, step=4320, lr=0.182250, batch loss=0.331395, epoch loss=3.089848
Batch=779, step=4380, lr=0.182000, batch loss=0.358263, epoch loss=3.448110
Batch=839, step=4440, lr=0.181750, batch loss=0.318436, epoch loss=3.766547
Batch=899, step=4500, lr=0.181500, batch loss=0.291240, epoch loss=4.057787
Batch=959, step=4560, lr=0.181250, batch loss=0.242941, epoch loss=4.300728
Batch=1019, step=4620, lr=0.181000, batch loss=0.339738, epoch loss=4.640466
Batch=1079, step=4680, lr=0.180500, batch loss=0.201131, epoch loss=4.841597
Batch=1139, step=4740, lr=0.180500, batch loss=0.243130, epoch loss=5.084726
Batch=1199, step=4800, lr=0.180250, batch loss=0.192633, epoch loss=5.277359
Epoch=3, step=4800, lr=0.180250, epoch loss=5.277359
Batch=59, step=4860, lr=0.180000, batch loss=0.228570, epoch loss=0.228570
Batch=119, step=4920, lr=0.179750, batch loss=0.188835, epoch loss=0.417405
Batch=179, step=4980, lr=0.179500, batch loss=0.205640, epoch loss=0.623044
Batch=239, step=5040, lr=0.179250, batch loss=0.308747, epoch loss=0.931791
Batch=299, step=5100, lr=0.179000, batch loss=0.204894, epoch loss=1.136685
Batch=359, step=5160, lr=0.178750, batch loss=0.271452, epoch loss=1.408137
Batch=419, step=5220, lr=0.178500, batch loss=0.265136, epoch loss=1.673273
Batch=479, step=5280, lr=0.178250, batch loss=0.241909, epoch loss=1.915182
Batch=539, step=5340, lr=0.178000, batch loss=0.194216, epoch loss=2.109398
Batch=599, step=5400, lr=0.177750, batch loss=0.237123, epoch loss=2.346521
Batch=659, step=5460, lr=0.177500, batch loss=0.320646, epoch loss=2.667167
Batch=719, step=5520, lr=0.177250, batch loss=0.323846, epoch loss=2.991013
Batch=779, step=5580, lr=0.177000, batch loss=0.339773, epoch loss=3.330785
Batch=839, step=5640, lr=0.176750, batch loss=0.311675, epoch loss=3.642461
Batch=899, step=5700, lr=0.176500, batch loss=0.271699, epoch loss=3.914160
Batch=959, step=5760, lr=0.176250, batch loss=0.216886, epoch loss=4.131046
Batch=1019, step=5820, lr=0.176000, batch loss=0.334636, epoch loss=4.465682
Batch=1079, step=5880, lr=0.175750, batch loss=0.191347, epoch loss=4.657029
Batch=1139, step=5940, lr=0.175500, batch loss=0.220400, epoch loss=4.877428
Batch=1199, step=6000, lr=0.175250, batch loss=0.186498, epoch loss=5.063927
Epoch=4, step=6000, lr=0.175250, epoch loss=5.063927
Batch=59, step=6060, lr=0.175000, batch loss=0.223713, epoch loss=0.223713
Batch=119, step=6120, lr=0.174750, batch loss=0.185306, epoch loss=0.409018
Batch=179, step=6180, lr=0.174500, batch loss=0.200503, epoch loss=0.609521
Batch=239, step=6240, lr=0.174250, batch loss=0.298531, epoch loss=0.908052
Batch=299, step=6300, lr=0.174000, batch loss=0.197043, epoch loss=1.105095
Batch=359, step=6360, lr=0.173750, batch loss=0.265292, epoch loss=1.370387
Batch=419, step=6420, lr=0.173500, batch loss=0.260808, epoch loss=1.631196
Batch=479, step=6480, lr=0.173250, batch loss=0.240462, epoch loss=1.871657
Batch=539, step=6540, lr=0.173000, batch loss=0.195559, epoch loss=2.067217
Batch=599, step=6600, lr=0.172750, batch loss=0.231653, epoch loss=2.298870
Batch=659, step=6660, lr=0.172500, batch loss=0.313821, epoch loss=2.612691
Batch=719, step=6720, lr=0.172250, batch loss=0.316602, epoch loss=2.929292
Batch=779, step=6780, lr=0.172000, batch loss=0.329162, epoch loss=3.258455
Batch=839, step=6840, lr=0.171750, batch loss=0.306161, epoch loss=3.564615
Batch=899, step=6900, lr=0.171500, batch loss=0.269032, epoch loss=3.833648
Batch=959, step=6960, lr=0.171250, batch loss=0.208069, epoch loss=4.041717
Batch=1019, step=7020, lr=0.171000, batch loss=0.327026, epoch loss=4.368743
Batch=1079, step=7080, lr=0.170750, batch loss=0.174565, epoch loss=4.543309
Batch=1139, step=7140, lr=0.170500, batch loss=0.212505, epoch loss=4.755814
Batch=1199, step=7200, lr=0.170250, batch loss=0.181435, epoch loss=4.937249
Epoch=5, step=7200, lr=0.170250, epoch loss=4.937249
Batch=59, step=7260, lr=0.170000, batch loss=0.242580, epoch loss=0.242580
Batch=119, step=7320, lr=0.169750, batch loss=0.179804, epoch loss=0.422384
Batch=179, step=7380, lr=0.169500, batch loss=0.194063, epoch loss=0.616447
Batch=239, step=7440, lr=0.169250, batch loss=0.290669, epoch loss=0.907116
Batch=299, step=7500, lr=0.169000, batch loss=0.206197, epoch loss=1.113313
Batch=359, step=7560, lr=0.168750, batch loss=0.261619, epoch loss=1.374932
Batch=419, step=7620, lr=0.168500, batch loss=0.252593, epoch loss=1.627525
Batch=479, step=7680, lr=0.168250, batch loss=0.231605, epoch loss=1.859130
Batch=539, step=7740, lr=0.168000, batch loss=0.192073, epoch loss=2.051203
Batch=599, step=7800, lr=0.167750, batch loss=0.225691, epoch loss=2.276894
Batch=659, step=7860, lr=0.167500, batch loss=0.305121, epoch loss=2.582015
Batch=719, step=7920, lr=0.167250, batch loss=0.308402, epoch loss=2.890417
Batch=779, step=7980, lr=0.167000, batch loss=0.329933, epoch loss=3.220350
Batch=839, step=8040, lr=0.166750, batch loss=0.291245, epoch loss=3.511595
Batch=899, step=8100, lr=0.166500, batch loss=0.261553, epoch loss=3.773147
Batch=959, step=8160, lr=0.166250, batch loss=0.199462, epoch loss=3.972609
Batch=1019, step=8220, lr=0.166000, batch loss=0.330166, epoch loss=4.302774
Batch=1079, step=8280, lr=0.165750, batch loss=0.207160, epoch loss=4.509934
Batch=1139, step=8340, lr=0.165500, batch loss=0.220302, epoch loss=4.730236
Batch=1199, step=8400, lr=0.165250, batch loss=0.174432, epoch loss=4.904668
Epoch=6, step=8400, lr=0.165250, epoch loss=4.904668
Batch=59, step=8460, lr=0.165000, batch loss=0.212369, epoch loss=0.212369
Batch=119, step=8520, lr=0.164750, batch loss=0.177101, epoch loss=0.389470
Batch=179, step=8580, lr=0.164500, batch loss=0.188418, epoch loss=0.577889
Batch=239, step=8640, lr=0.164250, batch loss=0.275551, epoch loss=0.853440
Batch=299, step=8700, lr=0.164000, batch loss=0.189863, epoch loss=1.043303
Batch=359, step=8760, lr=0.163750, batch loss=0.247832, epoch loss=1.291135
Batch=419, step=8820, lr=0.163500, batch loss=0.244810, epoch loss=1.535945
Batch=479, step=8880, lr=0.163250, batch loss=0.226774, epoch loss=1.762718
Batch=539, step=8940, lr=0.163000, batch loss=0.178675, epoch loss=1.941393
Batch=599, step=9000, lr=0.162750, batch loss=0.215744, epoch loss=2.157137
Batch=659, step=9060, lr=0.162500, batch loss=0.294682, epoch loss=2.451819
Batch=719, step=9120, lr=0.162250, batch loss=0.293154, epoch loss=2.744973
Batch=779, step=9180, lr=0.162000, batch loss=0.315491, epoch loss=3.060464
Batch=839, step=9240, lr=0.161750, batch loss=0.285607, epoch loss=3.346071
Batch=899, step=9300, lr=0.161500, batch loss=0.251415, epoch loss=3.597486
Batch=959, step=9360, lr=0.161250, batch loss=0.187794, epoch loss=3.785281
Batch=1019, step=9420, lr=0.161000, batch loss=0.316483, epoch loss=4.101764
Batch=1079, step=9480, lr=0.160750, batch loss=0.185270, epoch loss=4.287034
Batch=1139, step=9540, lr=0.160500, batch loss=0.206393, epoch loss=4.493427
Batch=1199, step=9600, lr=0.160250, batch loss=0.165997, epoch loss=4.659424
Epoch=7, step=9600, lr=0.160250, epoch loss=4.659424
Batch=59, step=9660, lr=0.160000, batch loss=0.200247, epoch loss=0.200247
Batch=119, step=9720, lr=0.159750, batch loss=0.163412, epoch loss=0.363658
Batch=179, step=9780, lr=0.159500, batch loss=0.178134, epoch loss=0.541792
Batch=239, step=9840, lr=0.159250, batch loss=0.259581, epoch loss=0.801373
Batch=299, step=9900, lr=0.159000, batch loss=0.185665, epoch loss=0.987038
Batch=359, step=9960, lr=0.158750, batch loss=0.238343, epoch loss=1.225381
Batch=419, step=10020, lr=0.158500, batch loss=0.232099, epoch loss=1.457480
Batch=479, step=10080, lr=0.158250, batch loss=0.219159, epoch loss=1.676639
Batch=539, step=10140, lr=0.158000, batch loss=0.169056, epoch loss=1.845695
Batch=599, step=10200, lr=0.157750, batch loss=0.202377, epoch loss=2.048073
Batch=659, step=10260, lr=0.157500, batch loss=0.279669, epoch loss=2.327741
Batch=719, step=10320, lr=0.157250, batch loss=0.286915, epoch loss=2.614656
Batch=779, step=10380, lr=0.157000, batch loss=0.292067, epoch loss=2.906723
Batch=839, step=10440, lr=0.156750, batch loss=0.264949, epoch loss=3.171673
Batch=899, step=10500, lr=0.156500, batch loss=0.240937, epoch loss=3.412609
Batch=959, step=10560, lr=0.156250, batch loss=0.196287, epoch loss=3.608896
Batch=1019, step=10620, lr=0.156000, batch loss=0.277817, epoch loss=3.886713
Batch=1079, step=10680, lr=0.155750, batch loss=0.149454, epoch loss=4.036167
Batch=1139, step=10740, lr=0.155500, batch loss=0.179625, epoch loss=4.215792
Batch=1199, step=10800, lr=0.155250, batch loss=0.164071, epoch loss=4.379863
Epoch=8, step=10800, lr=0.155250, epoch loss=4.379863
Batch=59, step=10860, lr=0.155000, batch loss=0.190325, epoch loss=0.190325
Batch=119, step=10920, lr=0.154750, batch loss=0.163743, epoch loss=0.354068
Batch=179, step=10980, lr=0.154500, batch loss=0.164514, epoch loss=0.518582
Batch=239, step=11040, lr=0.154250, batch loss=0.240526, epoch loss=0.759108
Batch=299, step=11100, lr=0.154000, batch loss=0.168162, epoch loss=0.927270
Batch=359, step=11160, lr=0.153750, batch loss=0.218974, epoch loss=1.146244
Batch=419, step=11220, lr=0.153500, batch loss=0.217238, epoch loss=1.363481
Batch=479, step=11280, lr=0.153250, batch loss=0.209081, epoch loss=1.572563
Batch=539, step=11340, lr=0.153000, batch loss=0.164842, epoch loss=1.737405
Batch=599, step=11400, lr=0.152750, batch loss=0.178023, epoch loss=1.915428
Batch=659, step=11460, lr=0.152500, batch loss=0.264136, epoch loss=2.179565
Batch=719, step=11520, lr=0.152250, batch loss=0.255758, epoch loss=2.435323
Batch=779, step=11580, lr=0.152000, batch loss=0.270734, epoch loss=2.706056
Batch=839, step=11640, lr=0.151750, batch loss=0.254648, epoch loss=2.960705
Batch=899, step=11700, lr=0.151500, batch loss=0.211497, epoch loss=3.172202
Batch=959, step=11760, lr=0.151250, batch loss=0.166603, epoch loss=3.338804
Batch=1019, step=11820, lr=0.151000, batch loss=0.264806, epoch loss=3.603611
Batch=1079, step=11880, lr=0.150750, batch loss=0.144333, epoch loss=3.747944
Batch=1139, step=11940, lr=0.150500, batch loss=0.188264, epoch loss=3.936208
Batch=1199, step=12000, lr=0.150250, batch loss=0.137508, epoch loss=4.073716
Epoch=9, step=12000, lr=0.150250, epoch loss=4.073716
Batch=59, step=12060, lr=0.150000, batch loss=0.159449, epoch loss=0.159449
Batch=119, step=12120, lr=0.149750, batch loss=0.135504, epoch loss=0.294953
Batch=179, step=12180, lr=0.149500, batch loss=0.149628, epoch loss=0.444581
Batch=239, step=12240, lr=0.149250, batch loss=0.216790, epoch loss=0.661371
Batch=299, step=12300, lr=0.149000, batch loss=0.139648, epoch loss=0.801019
Batch=359, step=12360, lr=0.148750, batch loss=0.195931, epoch loss=0.996949
Batch=419, step=12420, lr=0.148500, batch loss=0.204192, epoch loss=1.201141
Batch=479, step=12480, lr=0.148250, batch loss=0.176490, epoch loss=1.377631
Batch=539, step=12540, lr=0.148000, batch loss=0.140732, epoch loss=1.518363
Batch=599, step=12600, lr=0.147750, batch loss=0.146240, epoch loss=1.664603
Batch=659, step=12660, lr=0.147500, batch loss=0.219503, epoch loss=1.884106
Batch=719, step=12720, lr=0.147250, batch loss=0.230481, epoch loss=2.114587
Batch=779, step=12780, lr=0.147000, batch loss=0.245806, epoch loss=2.360393
Batch=839, step=12840, lr=0.146750, batch loss=0.225714, epoch loss=2.586107
Batch=899, step=12900, lr=0.146500, batch loss=0.184875, epoch loss=2.770981
Batch=959, step=12960, lr=0.146250, batch loss=0.167398, epoch loss=2.938379
Batch=1019, step=13020, lr=0.146000, batch loss=0.283656, epoch loss=3.222035
Batch=1079, step=13080, lr=0.145750, batch loss=0.109833, epoch loss=3.331868
Batch=1139, step=13140, lr=0.145500, batch loss=0.153405, epoch loss=3.485272
Batch=1199, step=13200, lr=0.145250, batch loss=0.116101, epoch loss=3.601373
Epoch=10, step=13200, lr=0.145250, epoch loss=3.601373
Batch=59, step=13260, lr=0.145000, batch loss=0.141073, epoch loss=0.141073
Batch=119, step=13320, lr=0.144750, batch loss=0.117729, epoch loss=0.258803
Batch=179, step=13380, lr=0.144500, batch loss=0.125738, epoch loss=0.384541
Batch=239, step=13440, lr=0.144250, batch loss=0.185351, epoch loss=0.569892
Batch=299, step=13500, lr=0.144000, batch loss=0.111038, epoch loss=0.680931
Batch=359, step=13560, lr=0.143750, batch loss=0.157802, epoch loss=0.838733
Batch=419, step=13620, lr=0.143500, batch loss=0.157072, epoch loss=0.995805
Batch=479, step=13680, lr=0.143250, batch loss=0.142811, epoch loss=1.138616
Batch=539, step=13740, lr=0.143000, batch loss=0.115148, epoch loss=1.253764
Batch=599, step=13800, lr=0.142750, batch loss=0.117133, epoch loss=1.370897
Batch=659, step=13860, lr=0.142500, batch loss=0.171428, epoch loss=1.542325
Batch=719, step=13920, lr=0.142250, batch loss=0.168961, epoch loss=1.711286
Batch=779, step=13980, lr=0.142000, batch loss=0.193262, epoch loss=1.904548
Batch=839, step=14040, lr=0.141750, batch loss=0.200657, epoch loss=2.105205
Batch=899, step=14100, lr=0.141500, batch loss=0.221730, epoch loss=2.326935
Batch=959, step=14160, lr=0.141250, batch loss=0.096027, epoch loss=2.422962
Batch=1019, step=14220, lr=0.141000, batch loss=0.199086, epoch loss=2.622048
Batch=1079, step=14280, lr=0.140750, batch loss=0.072677, epoch loss=2.694725
Batch=1139, step=14340, lr=0.140500, batch loss=0.109859, epoch loss=2.804585
Batch=1199, step=14400, lr=0.140250, batch loss=0.082220, epoch loss=2.886805
Epoch=11, step=14400, lr=0.140250, epoch loss=2.886805
Batch=59, step=14460, lr=0.140000, batch loss=0.102922, epoch loss=0.102922
Batch=119, step=14520, lr=0.139750, batch loss=0.103756, epoch loss=0.206678
Batch=179, step=14580, lr=0.139500, batch loss=0.096499, epoch loss=0.303177
Batch=239, step=14640, lr=0.139250, batch loss=0.137490, epoch loss=0.440667
Batch=299, step=14700, lr=0.139000, batch loss=0.072094, epoch loss=0.512761
Batch=359, step=14760, lr=0.138750, batch loss=0.119017, epoch loss=0.631778
Batch=419, step=14820, lr=0.138500, batch loss=0.133508, epoch loss=0.765286
Batch=479, step=14880, lr=0.138250, batch loss=0.089271, epoch loss=0.854557
Batch=539, step=14940, lr=0.138000, batch loss=0.087736, epoch loss=0.942293
Batch=599, step=15000, lr=0.137750, batch loss=0.080728, epoch loss=1.023022
Batch=659, step=15060, lr=0.137500, batch loss=0.131589, epoch loss=1.154611
Batch=719, step=15120, lr=0.137250, batch loss=0.172677, epoch loss=1.327287
Batch=779, step=15180, lr=0.137000, batch loss=0.371090, epoch loss=1.698378
Batch=839, step=15240, lr=0.136750, batch loss=0.128913, epoch loss=1.827291
Batch=899, step=15300, lr=0.136500, batch loss=0.103782, epoch loss=1.931072
Batch=959, step=15360, lr=0.136250, batch loss=0.074626, epoch loss=2.005698
Batch=1019, step=15420, lr=0.136000, batch loss=0.161017, epoch loss=2.166715
Batch=1079, step=15480, lr=0.135750, batch loss=0.042971, epoch loss=2.209686
Batch=1139, step=15540, lr=0.135500, batch loss=0.093455, epoch loss=2.303141
Batch=1199, step=15600, lr=0.135250, batch loss=0.056530, epoch loss=2.359671
Epoch=12, step=15600, lr=0.135250, epoch loss=2.359671
Batch=59, step=15660, lr=0.135000, batch loss=0.073330, epoch loss=0.073330
Batch=119, step=15720, lr=0.134750, batch loss=0.119745, epoch loss=0.193075
Batch=179, step=15780, lr=0.134500, batch loss=0.090547, epoch loss=0.283622
Batch=239, step=15840, lr=0.134250, batch loss=0.091723, epoch loss=0.375345
Batch=299, step=15900, lr=0.134000, batch loss=0.037500, epoch loss=0.412846
Batch=359, step=15960, lr=0.133750, batch loss=0.081203, epoch loss=0.494049
Batch=419, step=16020, lr=0.133500, batch loss=0.075336, epoch loss=0.569385
Batch=479, step=16080, lr=0.133250, batch loss=0.053611, epoch loss=0.622997
Batch=539, step=16140, lr=0.133000, batch loss=0.072248, epoch loss=0.695245
Batch=599, step=16200, lr=0.132750, batch loss=0.175436, epoch loss=0.870681
Batch=659, step=16260, lr=0.132500, batch loss=0.096037, epoch loss=0.966718
Batch=719, step=16320, lr=0.132250, batch loss=0.115693, epoch loss=1.082411
Batch=779, step=16380, lr=0.132000, batch loss=0.276526, epoch loss=1.358937
Batch=839, step=16440, lr=0.131750, batch loss=0.088782, epoch loss=1.447719
Batch=899, step=16500, lr=0.131500, batch loss=0.078123, epoch loss=1.525842
Batch=959, step=16560, lr=0.131250, batch loss=0.029896, epoch loss=1.555738
Batch=1019, step=16620, lr=0.131000, batch loss=0.058185, epoch loss=1.613923
Batch=1079, step=16680, lr=0.130750, batch loss=0.055546, epoch loss=1.669469
Batch=1139, step=16740, lr=0.130500, batch loss=0.103958, epoch loss=1.773427
Batch=1199, step=16800, lr=0.130250, batch loss=0.047735, epoch loss=1.821162
Epoch=13, step=16800, lr=0.130250, epoch loss=1.821162
Batch=59, step=16860, lr=0.130000, batch loss=0.033291, epoch loss=0.033291
Batch=119, step=16920, lr=0.129750, batch loss=0.031963, epoch loss=0.065254
Batch=179, step=16980, lr=0.129500, batch loss=0.042304, epoch loss=0.107558
Batch=239, step=17040, lr=0.129250, batch loss=0.057542, epoch loss=0.165100
Batch=299, step=17100, lr=0.129000, batch loss=0.019380, epoch loss=0.184480
Batch=359, step=17160, lr=0.128750, batch loss=0.045574, epoch loss=0.230054
Batch=419, step=17220, lr=0.128500, batch loss=0.081708, epoch loss=0.311763
Batch=479, step=17280, lr=0.128250, batch loss=0.024507, epoch loss=0.336270
Batch=539, step=17340, lr=0.128000, batch loss=0.032244, epoch loss=0.368513
Batch=599, step=17400, lr=0.127750, batch loss=0.035379, epoch loss=0.403892
Batch=659, step=17460, lr=0.127500, batch loss=0.046261, epoch loss=0.450152
Batch=719, step=17520, lr=0.127250, batch loss=0.046007, epoch loss=0.496159
Batch=779, step=17580, lr=0.127000, batch loss=0.105058, epoch loss=0.601217
Batch=839, step=17640, lr=0.126750, batch loss=0.099621, epoch loss=0.700838
Batch=899, step=17700, lr=0.126500, batch loss=0.150032, epoch loss=0.850870
Batch=959, step=17760, lr=0.126250, batch loss=0.020837, epoch loss=0.871707
Batch=1019, step=17820, lr=0.126000, batch loss=0.035012, epoch loss=0.906719
Batch=1079, step=17880, lr=0.125750, batch loss=0.009941, epoch loss=0.916660
Batch=1139, step=17940, lr=0.125500, batch loss=0.028550, epoch loss=0.945210
Batch=1199, step=18000, lr=0.125250, batch loss=0.013127, epoch loss=0.958337
Epoch=14, step=18000, lr=0.125250, epoch loss=0.958337
Batch=59, step=18060, lr=0.125000, batch loss=0.010784, epoch loss=0.010784
Batch=119, step=18120, lr=0.124750, batch loss=0.017476, epoch loss=0.028260
Batch=179, step=18180, lr=0.124500, batch loss=0.028141, epoch loss=0.056401
Batch=239, step=18240, lr=0.124250, batch loss=0.035344, epoch loss=0.091746
Batch=299, step=18300, lr=0.124000, batch loss=0.018227, epoch loss=0.109973
Batch=359, step=18360, lr=0.123750, batch loss=0.022453, epoch loss=0.132426
Batch=419, step=18420, lr=0.123500, batch loss=0.029983, epoch loss=0.162410
Batch=479, step=18480, lr=0.123250, batch loss=0.017020, epoch loss=0.179430
Batch=539, step=18540, lr=0.123000, batch loss=0.025844, epoch loss=0.205274
Batch=599, step=18600, lr=0.122750, batch loss=0.025334, epoch loss=0.230608
Batch=659, step=18660, lr=0.122500, batch loss=0.029169, epoch loss=0.259777
Batch=719, step=18720, lr=0.122250, batch loss=0.023378, epoch loss=0.283155
Batch=779, step=18780, lr=0.122000, batch loss=0.039546, epoch loss=0.322702
Batch=839, step=18840, lr=0.121750, batch loss=0.068082, epoch loss=0.390783
Batch=899, step=18900, lr=0.121500, batch loss=0.035385, epoch loss=0.426168
Batch=959, step=18960, lr=0.121250, batch loss=0.013250, epoch loss=0.439418
Batch=1019, step=19020, lr=0.121000, batch loss=0.022145, epoch loss=0.461562
Batch=1079, step=19080, lr=0.120750, batch loss=0.012607, epoch loss=0.474169
Batch=1139, step=19140, lr=0.120500, batch loss=0.022514, epoch loss=0.496683
Batch=1199, step=19200, lr=0.120250, batch loss=0.009672, epoch loss=0.506355
Epoch=15, step=19200, lr=0.120250, epoch loss=0.506355
Batch=59, step=19260, lr=0.120000, batch loss=0.005842, epoch loss=0.005842
Batch=119, step=19320, lr=0.119750, batch loss=0.016653, epoch loss=0.022495
Batch=179, step=19380, lr=0.119500, batch loss=0.049700, epoch loss=0.072195
Batch=239, step=19440, lr=0.119250, batch loss=0.019469, epoch loss=0.091664
Batch=299, step=19500, lr=0.119000, batch loss=0.004995, epoch loss=0.096659
Batch=359, step=19560, lr=0.118750, batch loss=0.017207, epoch loss=0.113867
Batch=419, step=19620, lr=0.118500, batch loss=0.019417, epoch loss=0.133284
Batch=479, step=19680, lr=0.118250, batch loss=0.008380, epoch loss=0.141663
Batch=539, step=19740, lr=0.118000, batch loss=0.017146, epoch loss=0.158810
Batch=599, step=19800, lr=0.117750, batch loss=0.022279, epoch loss=0.181089
Batch=659, step=19860, lr=0.117500, batch loss=0.017757, epoch loss=0.198846
Batch=719, step=19920, lr=0.117250, batch loss=0.041895, epoch loss=0.240740
Batch=779, step=19980, lr=0.117000, batch loss=0.088319, epoch loss=0.329060
Batch=839, step=20040, lr=0.116750, batch loss=0.031715, epoch loss=0.360775
Batch=899, step=20100, lr=0.116500, batch loss=0.027422, epoch loss=0.388196
Batch=959, step=20160, lr=0.116250, batch loss=0.017591, epoch loss=0.405788
Batch=1019, step=20220, lr=0.116000, batch loss=0.029250, epoch loss=0.435038
Batch=1079, step=20280, lr=0.115750, batch loss=0.002570, epoch loss=0.437608
Batch=1139, step=20340, lr=0.115500, batch loss=0.014645, epoch loss=0.452253
Batch=1199, step=20400, lr=0.115250, batch loss=0.006350, epoch loss=0.458604
Epoch=16, step=20400, lr=0.115250, epoch loss=0.458604
Batch=59, step=20460, lr=0.115000, batch loss=0.004048, epoch loss=0.004048
Batch=119, step=20520, lr=0.114750, batch loss=0.009331, epoch loss=0.013378
Batch=179, step=20580, lr=0.114500, batch loss=0.018911, epoch loss=0.032289
Batch=239, step=20640, lr=0.114250, batch loss=0.021209, epoch loss=0.053498
Batch=299, step=20700, lr=0.114000, batch loss=0.008384, epoch loss=0.061882
Batch=359, step=20760, lr=0.113750, batch loss=0.013997, epoch loss=0.075879
Batch=419, step=20820, lr=0.113500, batch loss=0.013551, epoch loss=0.089430
Batch=479, step=20880, lr=0.113250, batch loss=0.003488, epoch loss=0.092918
Batch=539, step=20940, lr=0.113000, batch loss=0.019903, epoch loss=0.112820
Batch=599, step=21000, lr=0.112750, batch loss=0.019266, epoch loss=0.132087
Batch=659, step=21060, lr=0.112500, batch loss=0.015215, epoch loss=0.147301
Batch=719, step=21120, lr=0.112250, batch loss=0.041217, epoch loss=0.188518
Batch=779, step=21180, lr=0.112000, batch loss=0.064319, epoch loss=0.252837
Batch=839, step=21240, lr=0.111750, batch loss=0.023954, epoch loss=0.276791
Batch=899, step=21300, lr=0.111500, batch loss=0.028625, epoch loss=0.305416
Batch=959, step=21360, lr=0.111250, batch loss=0.010154, epoch loss=0.315570
Batch=1019, step=21420, lr=0.111000, batch loss=0.010823, epoch loss=0.326393
Batch=1079, step=21480, lr=0.110750, batch loss=0.001444, epoch loss=0.327837
Batch=1139, step=21540, lr=0.110500, batch loss=0.012791, epoch loss=0.340628
Batch=1199, step=21600, lr=0.110250, batch loss=0.005194, epoch loss=0.345822
Epoch=17, step=21600, lr=0.110250, epoch loss=0.345822
Batch=59, step=21660, lr=0.110000, batch loss=0.002827, epoch loss=0.002827
Batch=119, step=21720, lr=0.109750, batch loss=0.006395, epoch loss=0.009221
Batch=179, step=21780, lr=0.109500, batch loss=0.012592, epoch loss=0.021813
Batch=239, step=21840, lr=0.109250, batch loss=0.009376, epoch loss=0.031189
Batch=299, step=21900, lr=0.109000, batch loss=0.004070, epoch loss=0.035259
Batch=359, step=21960, lr=0.108750, batch loss=0.014130, epoch loss=0.049389
Batch=419, step=22020, lr=0.108500, batch loss=0.012032, epoch loss=0.061421
Batch=479, step=22080, lr=0.108250, batch loss=0.003251, epoch loss=0.064672
Batch=539, step=22140, lr=0.108000, batch loss=0.017895, epoch loss=0.082568
Batch=599, step=22200, lr=0.107750, batch loss=0.016934, epoch loss=0.099502
Batch=659, step=22260, lr=0.107500, batch loss=0.015584, epoch loss=0.115086
Batch=719, step=22320, lr=0.107250, batch loss=0.023284, epoch loss=0.138370
Batch=779, step=22380, lr=0.107000, batch loss=0.037606, epoch loss=0.175976
Batch=839, step=22440, lr=0.106750, batch loss=0.023106, epoch loss=0.199082
Batch=899, step=22500, lr=0.106500, batch loss=0.029584, epoch loss=0.228666
Batch=959, step=22560, lr=0.106250, batch loss=0.009165, epoch loss=0.237831
Batch=1019, step=22620, lr=0.106000, batch loss=0.009336, epoch loss=0.247168
Batch=1079, step=22680, lr=0.105750, batch loss=0.000889, epoch loss=0.248057
Batch=1139, step=22740, lr=0.105500, batch loss=0.011202, epoch loss=0.259258
Batch=1199, step=22800, lr=0.105250, batch loss=0.004550, epoch loss=0.263808
Epoch=18, step=22800, lr=0.105250, epoch loss=0.263808
Batch=59, step=22860, lr=0.105000, batch loss=0.001677, epoch loss=0.001677
Batch=119, step=22920, lr=0.104750, batch loss=0.005427, epoch loss=0.007104
Batch=179, step=22980, lr=0.104500, batch loss=0.010929, epoch loss=0.018034
Batch=239, step=23040, lr=0.104250, batch loss=0.008830, epoch loss=0.026863
Batch=299, step=23100, lr=0.104000, batch loss=0.005730, epoch loss=0.032593
Batch=359, step=23160, lr=0.103750, batch loss=0.010586, epoch loss=0.043179
Batch=419, step=23220, lr=0.103500, batch loss=0.010180, epoch loss=0.053359
Batch=479, step=23280, lr=0.103250, batch loss=0.002709, epoch loss=0.056068
Batch=539, step=23340, lr=0.103000, batch loss=0.017192, epoch loss=0.073261
Batch=599, step=23400, lr=0.102750, batch loss=0.013379, epoch loss=0.086640
Batch=659, step=23460, lr=0.102500, batch loss=0.010908, epoch loss=0.097548
Batch=719, step=23520, lr=0.102250, batch loss=0.013902, epoch loss=0.111450
Batch=779, step=23580, lr=0.102000, batch loss=0.022112, epoch loss=0.133563
Batch=839, step=23640, lr=0.101750, batch loss=0.026491, epoch loss=0.160053
Batch=899, step=23700, lr=0.101500, batch loss=0.021303, epoch loss=0.181356
Batch=959, step=23760, lr=0.101250, batch loss=0.007741, epoch loss=0.189097
Batch=1019, step=23820, lr=0.101000, batch loss=0.006419, epoch loss=0.195516
Batch=1079, step=23880, lr=0.100750, batch loss=0.002075, epoch loss=0.197591
Batch=1139, step=23940, lr=0.100500, batch loss=0.008305, epoch loss=0.205896
Batch=1199, step=24000, lr=0.100250, batch loss=0.004436, epoch loss=0.210332
Epoch=19, step=24000, lr=0.100250, epoch loss=0.210332


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 15:23.00 ---> saved as "4d503d4bdc1d9569a7288d0cda34eb4878abe47da459860d3061feaeb5fa6902"
Job succeeded
2025-03-21 15:23.01: Job succeeded