debian-12-5.3+flambda_opam-2.3

2025-03-20 22:51.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (451f36eeac30ee583b682d08902494fd1a3a4f1b) (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 451f36ee
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 22:51.40: 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 22:51.40: 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 22:51.40: Waiting for resource in pool OCluster
2025-03-20 22:51.40: Waiting for worker…
2025-03-20 22:51.42: Got resource from pool OCluster
Building on asteria.caelum.ci.dev
HEAD is now at 1a4d0ebb fPIC for cc: but only openSUSE complained https://ocaml.ci.dev/github/ahrefs/ocannl/commit/ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0/variant/opensuse-15.6-5.3_opam-2.3
HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings


(from ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:36b0564f1768719da7bdf896155176e645f1eed290256ed08bf88aedbed5db96)
2025-03-20 22:51.43 ---> 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 22:51.43 ---> 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 22:51.43 ---> 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 22:51.43 ---> using "21f2427316ecd3b2b1d06245ccc85b94bbe86b75b44d925374a8e2c678f4916d" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 22:51.43 ---> 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 22:51.43 ---> using "af53f33f5b819debc22b733209c9b4785d8a42ec3a79f8a616d660e6188b4b5a" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 22:51.43 ---> 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)
2025-03-20 22:51.43 ---> using "5f054a69009203df3f20573d4db5ccf09ae607dbf7085fcf65509d3b4f430b0c" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 22:51.43 ---> 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 1s (7064 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 22:51.43 ---> 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 ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> 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 ppxlib.0.35.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved 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 csexp.1.5.2
-> installed bigarray-compat.1.1.0
-> installed cppo.1.8.0
-> installed multicore-magic.2.3.1
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed printbox.0.12
-> 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)
2025-03-20 22:51.43 ---> using "d9717d0a09483614d783e8e0c2ae1544a95a9829a9989513258fe2f9a483585c" from cache


/src: (copy (src .) (dst /src))
2025-03-20 22:51.44 ---> saved as "3deb76823dfd90d0bae389082cb0c8c916723ea7f2dac02a1817a1b3bf8be5bf"


/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/a18a1d6c1ca5529736aa12ed5cdc5fcf/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/a18a1d6c1ca5529736aa12ed5cdc5fcf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/a18a1d6c1ca5529736aa12ed5cdc5fcf/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/a5169fc27086520a1b84bc4c768668a3/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/a18a1d6c1ca5529736aa12ed5cdc5fcf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/a18a1d6c1ca5529736aa12ed5cdc5fcf/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/a18a1d6c1ca5529736aa12ed5cdc5fcf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/a18a1d6c1ca5529736aa12ed5cdc5fcf/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/a18a1d6c1ca5529736aa12ed5cdc5fcf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/a18a1d6c1ca5529736aa12ed5cdc5fcf/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/a18a1d6c1ca5529736aa12ed5cdc5fcf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/a18a1d6c1ca5529736aa12ed5cdc5fcf/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/a18a1d6c1ca5529736aa12ed5cdc5fcf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/a18a1d6c1ca5529736aa12ed5cdc5fcf/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/a18a1d6c1ca5529736aa12ed5cdc5fcf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/a18a1d6c1ca5529736aa12ed5cdc5fcf/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/a18a1d6c1ca5529736aa12ed5cdc5fcf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/a18a1d6c1ca5529736aa12ed5cdc5fcf/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/a18a1d6c1ca5529736aa12ed5cdc5fcf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/a18a1d6c1ca5529736aa12ed5cdc5fcf/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/a18a1d6c1ca5529736aa12ed5cdc5fcf/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=0.197750, batch loss=0.691338, epoch loss=40.532887
Batch=599, step=600, lr=0.197750, batch loss=1.061674, epoch loss=41.594561
Batch=659, step=660, lr=0.197250, batch loss=0.483747, epoch loss=42.078308
Batch=719, step=720, lr=0.197250, batch loss=0.411391, epoch loss=42.489699
Batch=779, step=780, lr=0.197000, batch loss=0.469952, epoch loss=42.959651
Batch=839, step=840, lr=0.196750, batch loss=0.446946, epoch loss=43.406597
Batch=899, step=900, lr=0.196500, batch loss=0.382739, epoch loss=43.789336
Batch=959, step=960, lr=0.196250, batch loss=0.244405, epoch loss=44.033740
Batch=1019, step=1020, lr=0.195750, batch loss=0.468002, epoch loss=44.501743
Batch=1079, step=1080, lr=0.195750, batch loss=0.247297, epoch loss=44.749040
Batch=1139, step=1140, lr=0.195250, batch loss=0.318210, epoch loss=45.067250
Batch=1199, step=1200, lr=0.195250, batch loss=0.263269, epoch loss=45.330520
Epoch=0, step=1200, lr=0.195250, epoch loss=45.330520
Batch=59, step=1260, lr=0.195000, batch loss=0.261711, epoch loss=0.261711
Batch=119, step=1320, lr=0.194750, batch loss=0.205535, epoch loss=0.467246
Batch=179, step=1380, lr=0.194500, batch loss=0.243626, epoch loss=0.710872
Batch=239, step=1440, lr=0.194250, batch loss=0.348167, epoch loss=1.059039
Batch=299, step=1500, lr=0.194000, batch loss=0.253643, epoch loss=1.312682
Batch=359, step=1560, lr=0.193750, batch loss=0.316382, epoch loss=1.629064
Batch=419, step=1620, lr=0.193500, batch loss=0.309769, epoch loss=1.938834
Batch=479, step=1680, lr=0.193000, batch loss=0.275541, epoch loss=2.214374
Batch=539, step=1740, lr=0.192750, batch loss=0.210743, epoch loss=2.425117
Batch=599, step=1800, lr=0.192500, batch loss=0.250636, epoch loss=2.675753
Batch=659, step=1860, lr=0.192250, batch loss=0.369837, epoch loss=3.045590
Batch=719, step=1920, lr=0.192000, batch loss=0.364119, epoch loss=3.409709
Batch=779, step=1980, lr=0.192000, batch loss=0.383350, epoch loss=3.793060
Batch=839, step=2040, lr=0.191500, batch loss=0.350229, epoch loss=4.143289
Batch=899, step=2100, lr=0.191250, batch loss=0.322385, epoch loss=4.465674
Batch=959, step=2160, lr=0.191000, batch loss=0.257538, epoch loss=4.723212
Batch=1019, step=2220, lr=0.190750, batch loss=0.388663, epoch loss=5.111875
Batch=1079, step=2280, lr=0.190500, batch loss=0.206070, epoch loss=5.317945
Batch=1139, step=2340, lr=0.190500, batch loss=0.259073, epoch loss=5.577018
Batch=1199, step=2400, lr=0.190250, batch loss=0.211142, epoch loss=5.788161
Epoch=1, step=2400, lr=0.190250, epoch loss=5.788161
Batch=59, step=2460, lr=0.189750, batch loss=0.234605, epoch loss=0.234605
Batch=119, step=2520, lr=0.189750, batch loss=0.194815, epoch loss=0.429420
Batch=179, step=2580, lr=0.189500, batch loss=0.220905, epoch loss=0.650325
Batch=239, step=2640, lr=0.189250, batch loss=0.327962, epoch loss=0.978287
Batch=299, step=2700, lr=0.189000, batch loss=0.203519, epoch loss=1.181806
Batch=359, step=2760, lr=0.188500, batch loss=0.288380, epoch loss=1.470185
Batch=419, step=2820, lr=0.188500, batch loss=0.280302, epoch loss=1.750488
Batch=479, step=2880, lr=0.188250, batch loss=0.252071, epoch loss=2.002559
Batch=539, step=2940, lr=0.188000, batch loss=0.192274, epoch loss=2.194833
Batch=599, step=3000, lr=0.187750, batch loss=0.225259, epoch loss=2.420093
Batch=659, step=3060, lr=0.187250, batch loss=0.331922, epoch loss=2.752014
Batch=719, step=3120, lr=0.187250, batch loss=0.331714, epoch loss=3.083728
Batch=779, step=3180, lr=0.187000, batch loss=0.358292, epoch loss=3.442020
Batch=839, step=3240, lr=0.186750, batch loss=0.324933, epoch loss=3.766953
Batch=899, step=3300, lr=0.186500, batch loss=0.293083, epoch loss=4.060037
Batch=959, step=3360, lr=0.186250, batch loss=0.236359, epoch loss=4.296396
Batch=1019, step=3420, lr=0.186000, batch loss=0.337814, epoch loss=4.634210
Batch=1079, step=3480, lr=0.185750, batch loss=0.191853, epoch loss=4.826063
Batch=1139, step=3540, lr=0.185250, batch loss=0.232268, epoch loss=5.058332
Batch=1199, step=3600, lr=0.185000, batch loss=0.198783, epoch loss=5.257114
Epoch=2, step=3600, lr=0.185000, epoch loss=5.257114
Batch=59, step=3660, lr=0.185000, batch loss=0.226869, epoch loss=0.226869
Batch=119, step=3720, lr=0.184500, batch loss=0.191486, epoch loss=0.418355
Batch=179, step=3780, lr=0.184250, batch loss=0.211178, epoch loss=0.629533
Batch=239, step=3840, lr=0.184250, batch loss=0.316553, epoch loss=0.946085
Batch=299, step=3900, lr=0.184000, batch loss=0.202986, epoch loss=1.149072
Batch=359, step=3960, lr=0.183750, batch loss=0.282943, epoch loss=1.432014
Batch=419, step=4020, lr=0.183500, batch loss=0.271976, epoch loss=1.703991
Batch=479, step=4080, lr=0.183250, batch loss=0.249648, epoch loss=1.953639
Batch=539, step=4140, lr=0.183000, batch loss=0.194471, epoch loss=2.148110
Batch=599, step=4200, lr=0.182750, batch loss=0.243266, epoch loss=2.391376
Batch=659, step=4260, lr=0.182500, batch loss=0.328290, epoch loss=2.719665
Batch=719, step=4320, lr=0.182250, batch loss=0.329012, epoch loss=3.048677
Batch=779, step=4380, lr=0.182000, batch loss=0.350499, epoch loss=3.399176
Batch=839, step=4440, lr=0.181750, batch loss=0.318996, epoch loss=3.718172
Batch=899, step=4500, lr=0.181500, batch loss=0.290733, epoch loss=4.008905
Batch=959, step=4560, lr=0.181250, batch loss=0.244639, epoch loss=4.253544
Batch=1019, step=4620, lr=0.181000, batch loss=0.339256, epoch loss=4.592800
Batch=1079, step=4680, lr=0.180750, batch loss=0.222381, epoch loss=4.815180
Batch=1139, step=4740, lr=0.180500, batch loss=0.246629, epoch loss=5.061809
Batch=1199, step=4800, lr=0.180250, batch loss=0.191209, epoch loss=5.253019
Epoch=3, step=4800, lr=0.180250, epoch loss=5.253019
Batch=59, step=4860, lr=0.180000, batch loss=0.226537, epoch loss=0.226537
Batch=119, step=4920, lr=0.179750, batch loss=0.190731, epoch loss=0.417267
Batch=179, step=4980, lr=0.179500, batch loss=0.206210, epoch loss=0.623477
Batch=239, step=5040, lr=0.179250, batch loss=0.307476, epoch loss=0.930953
Batch=299, step=5100, lr=0.179000, batch loss=0.207250, epoch loss=1.138204
Batch=359, step=5160, lr=0.178750, batch loss=0.276754, epoch loss=1.414958
Batch=419, step=5220, lr=0.178500, batch loss=0.280100, epoch loss=1.695057
Batch=479, step=5280, lr=0.178250, batch loss=0.255888, epoch loss=1.950945
Batch=539, step=5340, lr=0.178000, batch loss=0.189935, epoch loss=2.140880
Batch=599, step=5400, lr=0.177750, batch loss=0.229680, epoch loss=2.370560
Batch=659, step=5460, lr=0.177500, batch loss=0.324831, epoch loss=2.695391
Batch=719, step=5520, lr=0.177250, batch loss=0.325692, epoch loss=3.021083
Batch=779, step=5580, lr=0.177000, batch loss=0.344705, epoch loss=3.365789
Batch=839, step=5640, lr=0.176750, batch loss=0.308637, epoch loss=3.674426
Batch=899, step=5700, lr=0.176500, batch loss=0.272375, epoch loss=3.946800
Batch=959, step=5760, lr=0.176000, batch loss=0.215247, epoch loss=4.162047
Batch=1019, step=5820, lr=0.176000, batch loss=0.333892, epoch loss=4.495939
Batch=1079, step=5880, lr=0.175750, batch loss=0.178284, epoch loss=4.674223
Batch=1139, step=5940, lr=0.175250, batch loss=0.217670, epoch loss=4.891894
Batch=1199, step=6000, lr=0.175250, batch loss=0.191087, epoch loss=5.082980
Epoch=4, step=6000, lr=0.175250, epoch loss=5.082980
Batch=59, step=6060, lr=0.175000, batch loss=0.234431, epoch loss=0.234431
Batch=119, step=6120, lr=0.174750, batch loss=0.190856, epoch loss=0.425287
Batch=179, step=6180, lr=0.174500, batch loss=0.200388, epoch loss=0.625676
Batch=239, step=6240, lr=0.174250, batch loss=0.299731, epoch loss=0.925407
Batch=299, step=6300, lr=0.174000, batch loss=0.213999, epoch loss=1.139406
Batch=359, step=6360, lr=0.173750, batch loss=0.271092, epoch loss=1.410498
Batch=419, step=6420, lr=0.173500, batch loss=0.263656, epoch loss=1.674154
Batch=479, step=6480, lr=0.173250, batch loss=0.245389, epoch loss=1.919543
Batch=539, step=6540, lr=0.172750, batch loss=0.191190, epoch loss=2.110733
Batch=599, step=6600, lr=0.172750, batch loss=0.230942, epoch loss=2.341675
Batch=659, step=6660, lr=0.172500, batch loss=0.313851, epoch loss=2.655526
Batch=719, step=6720, lr=0.172250, batch loss=0.315614, epoch loss=2.971140
Batch=779, step=6780, lr=0.172000, batch loss=0.329532, epoch loss=3.300672
Batch=839, step=6840, lr=0.171750, batch loss=0.305594, epoch loss=3.606265
Batch=899, step=6900, lr=0.171500, batch loss=0.264150, epoch loss=3.870415
Batch=959, step=6960, lr=0.171250, batch loss=0.213983, epoch loss=4.084398
Batch=1019, step=7020, lr=0.170750, batch loss=0.321472, epoch loss=4.405870
Batch=1079, step=7080, lr=0.170500, batch loss=0.178471, epoch loss=4.584341
Batch=1139, step=7140, lr=0.170500, batch loss=0.214387, epoch loss=4.798728
Batch=1199, step=7200, lr=0.170250, batch loss=0.184145, epoch loss=4.982873
Epoch=5, step=7200, lr=0.170250, epoch loss=4.982873
Batch=59, step=7260, lr=0.170000, batch loss=0.236862, epoch loss=0.236862
Batch=119, step=7320, lr=0.169750, batch loss=0.181391, epoch loss=0.418253
Batch=179, step=7380, lr=0.169500, batch loss=0.194244, epoch loss=0.612496
Batch=239, step=7440, lr=0.169250, batch loss=0.289191, epoch loss=0.901688
Batch=299, step=7500, lr=0.169000, batch loss=0.206409, epoch loss=1.108096
Batch=359, step=7560, lr=0.168750, batch loss=0.261313, epoch loss=1.369409
Batch=419, step=7620, lr=0.168500, batch loss=0.254831, epoch loss=1.624241
Batch=479, step=7680, lr=0.168250, batch loss=0.237646, epoch loss=1.861887
Batch=539, step=7740, lr=0.168000, batch loss=0.186468, epoch loss=2.048355
Batch=599, step=7800, lr=0.167750, batch loss=0.226717, epoch loss=2.275072
Batch=659, step=7860, lr=0.167500, batch loss=0.304045, epoch loss=2.579118
Batch=719, step=7920, lr=0.167250, batch loss=0.306024, epoch loss=2.885141
Batch=779, step=7980, lr=0.167000, batch loss=0.319524, epoch loss=3.204666
Batch=839, step=8040, lr=0.166750, batch loss=0.295966, epoch loss=3.500632
Batch=899, step=8100, lr=0.166500, batch loss=0.258072, epoch loss=3.758704
Batch=959, step=8160, lr=0.166250, batch loss=0.207727, epoch loss=3.966431
Batch=1019, step=8220, lr=0.166000, batch loss=0.318099, epoch loss=4.284530
Batch=1079, step=8280, lr=0.165750, batch loss=0.179365, epoch loss=4.463895
Batch=1139, step=8340, lr=0.165500, batch loss=0.210344, epoch loss=4.674239
Batch=1199, step=8400, lr=0.165250, batch loss=0.172020, epoch loss=4.846259
Epoch=6, step=8400, lr=0.165250, epoch loss=4.846259
Batch=59, step=8460, lr=0.165000, batch loss=0.210697, epoch loss=0.210697
Batch=119, step=8520, lr=0.164750, batch loss=0.177198, epoch loss=0.387896
Batch=179, step=8580, lr=0.164500, batch loss=0.188247, epoch loss=0.576143
Batch=239, step=8640, lr=0.164250, batch loss=0.276793, epoch loss=0.852935
Batch=299, step=8700, lr=0.164000, batch loss=0.195885, epoch loss=1.048820
Batch=359, step=8760, lr=0.163750, batch loss=0.253633, epoch loss=1.302453
Batch=419, step=8820, lr=0.163500, batch loss=0.243224, epoch loss=1.545677
Batch=479, step=8880, lr=0.163250, batch loss=0.228489, epoch loss=1.774166
Batch=539, step=8940, lr=0.163000, batch loss=0.176547, epoch loss=1.950713
Batch=599, step=9000, lr=0.162750, batch loss=0.217929, epoch loss=2.168642
Batch=659, step=9060, lr=0.162500, batch loss=0.292971, epoch loss=2.461613
Batch=719, step=9120, lr=0.162250, batch loss=0.296692, epoch loss=2.758305
Batch=779, step=9180, lr=0.162000, batch loss=0.313507, epoch loss=3.071812
Batch=839, step=9240, lr=0.161750, batch loss=0.281191, epoch loss=3.353004
Batch=899, step=9300, lr=0.161500, batch loss=0.250645, epoch loss=3.603649
Batch=959, step=9360, lr=0.161000, batch loss=0.190043, epoch loss=3.793691
Batch=1019, step=9420, lr=0.161000, batch loss=0.314963, epoch loss=4.108654
Batch=1079, step=9480, lr=0.160750, batch loss=0.187844, epoch loss=4.296498
Batch=1139, step=9540, lr=0.160250, batch loss=0.205163, epoch loss=4.501661
Batch=1199, step=9600, lr=0.160250, batch loss=0.165318, epoch loss=4.666979
Epoch=7, step=9600, lr=0.160250, epoch loss=4.666979
Batch=59, step=9660, lr=0.160000, batch loss=0.194733, epoch loss=0.194733
Batch=119, step=9720, lr=0.159750, batch loss=0.165918, epoch loss=0.360651
Batch=179, step=9780, lr=0.159500, batch loss=0.178974, epoch loss=0.539624
Batch=239, step=9840, lr=0.159250, batch loss=0.262529, epoch loss=0.802153
Batch=299, step=9900, lr=0.159000, batch loss=0.183160, epoch loss=0.985313
Batch=359, step=9960, lr=0.158750, batch loss=0.238061, epoch loss=1.223374
Batch=419, step=10020, lr=0.158500, batch loss=0.231954, epoch loss=1.455328
Batch=479, step=10080, lr=0.158250, batch loss=0.218934, epoch loss=1.674262
Batch=539, step=10140, lr=0.158000, batch loss=0.168817, epoch loss=1.843079
Batch=599, step=10200, lr=0.157750, batch loss=0.201854, epoch loss=2.044933
Batch=659, step=10260, lr=0.157500, batch loss=0.279949, epoch loss=2.324882
Batch=719, step=10320, lr=0.157250, batch loss=0.278707, epoch loss=2.603589
Batch=779, step=10380, lr=0.157000, batch loss=0.298932, epoch loss=2.902521
Batch=839, step=10440, lr=0.156750, batch loss=0.269651, epoch loss=3.172171
Batch=899, step=10500, lr=0.156500, batch loss=0.239258, epoch loss=3.411429
Batch=959, step=10560, lr=0.156250, batch loss=0.200327, epoch loss=3.611756
Batch=1019, step=10620, lr=0.156000, batch loss=0.276518, epoch loss=3.888274
Batch=1079, step=10680, lr=0.155750, batch loss=0.150962, epoch loss=4.039236
Batch=1139, step=10740, lr=0.155500, batch loss=0.182245, epoch loss=4.221481
Batch=1199, step=10800, lr=0.155250, batch loss=0.154820, epoch loss=4.376301
Epoch=8, step=10800, lr=0.155250, epoch loss=4.376301
Batch=59, step=10860, lr=0.155000, batch loss=0.192442, epoch loss=0.192442
Batch=119, step=10920, lr=0.154750, batch loss=0.161531, epoch loss=0.353974
Batch=179, step=10980, lr=0.154500, batch loss=0.165293, epoch loss=0.519267
Batch=239, step=11040, lr=0.154250, batch loss=0.241457, epoch loss=0.760724
Batch=299, step=11100, lr=0.154000, batch loss=0.166818, epoch loss=0.927542
Batch=359, step=11160, lr=0.153750, batch loss=0.224019, epoch loss=1.151561
Batch=419, step=11220, lr=0.153500, batch loss=0.227332, epoch loss=1.378893
Batch=479, step=11280, lr=0.153250, batch loss=0.202701, epoch loss=1.581595
Batch=539, step=11340, lr=0.153000, batch loss=0.158771, epoch loss=1.740365
Batch=599, step=11400, lr=0.152750, batch loss=0.183592, epoch loss=1.923957
Batch=659, step=11460, lr=0.152500, batch loss=0.261464, epoch loss=2.185422
Batch=719, step=11520, lr=0.152250, batch loss=0.255061, epoch loss=2.440483
Batch=779, step=11580, lr=0.152000, batch loss=0.267730, epoch loss=2.708213
Batch=839, step=11640, lr=0.151750, batch loss=0.256593, epoch loss=2.964806
Batch=899, step=11700, lr=0.151500, batch loss=0.230234, epoch loss=3.195040
Batch=959, step=11760, lr=0.151250, batch loss=0.167987, epoch loss=3.363027
Batch=1019, step=11820, lr=0.151000, batch loss=0.262963, epoch loss=3.625990
Batch=1079, step=11880, lr=0.150750, batch loss=0.147507, epoch loss=3.773497
Batch=1139, step=11940, lr=0.150500, batch loss=0.186796, epoch loss=3.960293
Batch=1199, step=12000, lr=0.150250, batch loss=0.137960, epoch loss=4.098253
Epoch=9, step=12000, lr=0.150250, epoch loss=4.098253
Batch=59, step=12060, lr=0.150000, batch loss=0.161891, epoch loss=0.161891
Batch=119, step=12120, lr=0.149750, batch loss=0.134320, epoch loss=0.296211
Batch=179, step=12180, lr=0.149500, batch loss=0.149976, epoch loss=0.446186
Batch=239, step=12240, lr=0.149250, batch loss=0.218265, epoch loss=0.664451
Batch=299, step=12300, lr=0.149000, batch loss=0.139025, epoch loss=0.803476
Batch=359, step=12360, lr=0.148750, batch loss=0.198307, epoch loss=1.001783
Batch=419, step=12420, lr=0.148500, batch loss=0.202380, epoch loss=1.204163
Batch=479, step=12480, lr=0.148250, batch loss=0.173297, epoch loss=1.377461
Batch=539, step=12540, lr=0.148000, batch loss=0.144713, epoch loss=1.522174
Batch=599, step=12600, lr=0.147750, batch loss=0.146899, epoch loss=1.669073
Batch=659, step=12660, lr=0.147500, batch loss=0.214703, epoch loss=1.883776
Batch=719, step=12720, lr=0.147250, batch loss=0.214724, epoch loss=2.098500
Batch=779, step=12780, lr=0.147000, batch loss=0.239165, epoch loss=2.337665
Batch=839, step=12840, lr=0.146500, batch loss=0.224280, epoch loss=2.561945
Batch=899, step=12900, lr=0.146500, batch loss=0.187053, epoch loss=2.748998
Batch=959, step=12960, lr=0.146250, batch loss=0.171748, epoch loss=2.920746
Batch=1019, step=13020, lr=0.146000, batch loss=0.312399, epoch loss=3.233146
Batch=1079, step=13080, lr=0.145750, batch loss=0.109275, epoch loss=3.342421
Batch=1139, step=13140, lr=0.145500, batch loss=0.151086, epoch loss=3.493507
Batch=1199, step=13200, lr=0.145250, batch loss=0.116556, epoch loss=3.610063
Epoch=10, step=13200, lr=0.145250, epoch loss=3.610063
Batch=59, step=13260, lr=0.145000, batch loss=0.143305, epoch loss=0.143305
Batch=119, step=13320, lr=0.144750, batch loss=0.116704, epoch loss=0.260009
Batch=179, step=13380, lr=0.144500, batch loss=0.129161, epoch loss=0.389170
Batch=239, step=13440, lr=0.144000, batch loss=0.188955, epoch loss=0.578125
Batch=299, step=13500, lr=0.144000, batch loss=0.118113, epoch loss=0.696238
Batch=359, step=13560, lr=0.143750, batch loss=0.162032, epoch loss=0.858270
Batch=419, step=13620, lr=0.143500, batch loss=0.156248, epoch loss=1.014518
Batch=479, step=13680, lr=0.143250, batch loss=0.146052, epoch loss=1.160570
Batch=539, step=13740, lr=0.143000, batch loss=0.114591, epoch loss=1.275161
Batch=599, step=13800, lr=0.142750, batch loss=0.118791, epoch loss=1.393952
Batch=659, step=13860, lr=0.142500, batch loss=0.179359, epoch loss=1.573312
Batch=719, step=13920, lr=0.142250, batch loss=0.194222, epoch loss=1.767533
Batch=779, step=13980, lr=0.142000, batch loss=0.220600, epoch loss=1.988134
Batch=839, step=14040, lr=0.141750, batch loss=0.203874, epoch loss=2.192007
Batch=899, step=14100, lr=0.141500, batch loss=0.221813, epoch loss=2.413820
Batch=959, step=14160, lr=0.141250, batch loss=0.096688, epoch loss=2.510509
Batch=1019, step=14220, lr=0.141000, batch loss=0.201918, epoch loss=2.712427
Batch=1079, step=14280, lr=0.140750, batch loss=0.071943, epoch loss=2.784370
Batch=1139, step=14340, lr=0.140500, batch loss=0.113262, epoch loss=2.897632
Batch=1199, step=14400, lr=0.140250, batch loss=0.084826, epoch loss=2.982459
Epoch=11, step=14400, lr=0.140250, epoch loss=2.982459
Batch=59, step=14460, lr=0.140000, batch loss=0.102785, epoch loss=0.102785
Batch=119, step=14520, lr=0.139500, batch loss=0.098745, epoch loss=0.201530
Batch=179, step=14580, lr=0.139500, batch loss=0.097513, epoch loss=0.299043
Batch=239, step=14640, lr=0.139250, batch loss=0.142294, epoch loss=0.441337
Batch=299, step=14700, lr=0.139000, batch loss=0.076597, epoch loss=0.517934
Batch=359, step=14760, lr=0.138750, batch loss=0.116652, epoch loss=0.634586
Batch=419, step=14820, lr=0.138500, batch loss=0.128131, epoch loss=0.762717
Batch=479, step=14880, lr=0.138250, batch loss=0.099990, epoch loss=0.862707
Batch=539, step=14940, lr=0.138000, batch loss=0.118237, epoch loss=0.980944
Batch=599, step=15000, lr=0.137500, batch loss=0.082772, epoch loss=1.063716
Batch=659, step=15060, lr=0.137500, batch loss=0.125445, epoch loss=1.189161
Batch=719, step=15120, lr=0.137250, batch loss=0.117734, epoch loss=1.306895
Batch=779, step=15180, lr=0.137000, batch loss=0.129597, epoch loss=1.436492
Batch=839, step=15240, lr=0.136750, batch loss=0.158686, epoch loss=1.595178
Batch=899, step=15300, lr=0.136500, batch loss=0.282028, epoch loss=1.877206
Batch=959, step=15360, lr=0.136250, batch loss=0.060728, epoch loss=1.937934
Batch=1019, step=15420, lr=0.136000, batch loss=0.129784, epoch loss=2.067718
Batch=1079, step=15480, lr=0.135750, batch loss=0.046758, epoch loss=2.114476
Batch=1139, step=15540, lr=0.135500, batch loss=0.099750, epoch loss=2.214226
Batch=1199, step=15600, lr=0.135250, batch loss=0.058935, epoch loss=2.273161
Epoch=12, step=15600, lr=0.135250, epoch loss=2.273161
Batch=59, step=15660, lr=0.135000, batch loss=0.068750, epoch loss=0.068750
Batch=119, step=15720, lr=0.134750, batch loss=0.089363, epoch loss=0.158113
Batch=179, step=15780, lr=0.134500, batch loss=0.079266, epoch loss=0.237380
Batch=239, step=15840, lr=0.134250, batch loss=0.088670, epoch loss=0.326050
Batch=299, step=15900, lr=0.134000, batch loss=0.041461, epoch loss=0.367511
Batch=359, step=15960, lr=0.133750, batch loss=0.080137, epoch loss=0.447647
Batch=419, step=16020, lr=0.133500, batch loss=0.112654, epoch loss=0.560301
Batch=479, step=16080, lr=0.133250, batch loss=0.046373, epoch loss=0.606674
Batch=539, step=16140, lr=0.132750, batch loss=0.044367, epoch loss=0.651041
Batch=599, step=16200, lr=0.132750, batch loss=0.052278, epoch loss=0.703319
Batch=659, step=16260, lr=0.132500, batch loss=0.077321, epoch loss=0.780640
Batch=719, step=16320, lr=0.132250, batch loss=0.096391, epoch loss=0.877031
Batch=779, step=16380, lr=0.132000, batch loss=0.098028, epoch loss=0.975059
Batch=839, step=16440, lr=0.131750, batch loss=0.192589, epoch loss=1.167648
Batch=899, step=16500, lr=0.131500, batch loss=0.087367, epoch loss=1.255015
Batch=959, step=16560, lr=0.131250, batch loss=0.042444, epoch loss=1.297459
Batch=1019, step=16620, lr=0.131000, batch loss=0.052554, epoch loss=1.350013
Batch=1079, step=16680, lr=0.130750, batch loss=0.055245, epoch loss=1.405258
Batch=1139, step=16740, lr=0.130500, batch loss=0.104560, epoch loss=1.509817
Batch=1199, step=16800, lr=0.130250, batch loss=0.043053, epoch loss=1.552870
Epoch=13, step=16800, lr=0.130250, epoch loss=1.552870
Batch=59, step=16860, lr=0.130000, batch loss=0.035867, epoch loss=0.035867
Batch=119, step=16920, lr=0.129750, batch loss=0.038065, epoch loss=0.073932
Batch=179, step=16980, lr=0.129500, batch loss=0.042576, epoch loss=0.116509
Batch=239, step=17040, lr=0.129250, batch loss=0.056911, epoch loss=0.173420
Batch=299, step=17100, lr=0.129000, batch loss=0.018191, epoch loss=0.191610
Batch=359, step=17160, lr=0.128750, batch loss=0.041685, epoch loss=0.233295
Batch=419, step=17220, lr=0.128500, batch loss=0.043524, epoch loss=0.276819
Batch=479, step=17280, lr=0.128250, batch loss=0.040520, epoch loss=0.317339
Batch=539, step=17340, lr=0.128000, batch loss=0.097386, epoch loss=0.414725
Batch=599, step=17400, lr=0.127750, batch loss=0.040585, epoch loss=0.455310
Batch=659, step=17460, lr=0.127500, batch loss=0.048914, epoch loss=0.504224
Batch=719, step=17520, lr=0.127250, batch loss=0.063189, epoch loss=0.567413
Batch=779, step=17580, lr=0.127000, batch loss=0.118053, epoch loss=0.685466
Batch=839, step=17640, lr=0.126750, batch loss=0.070619, epoch loss=0.756084
Batch=899, step=17700, lr=0.126500, batch loss=0.079750, epoch loss=0.835834
Batch=959, step=17760, lr=0.126250, batch loss=0.036020, epoch loss=0.871855
Batch=1019, step=17820, lr=0.126000, batch loss=0.072351, epoch loss=0.944206
Batch=1079, step=17880, lr=0.125750, batch loss=0.019807, epoch loss=0.964013
Batch=1139, step=17940, lr=0.125500, batch loss=0.037874, epoch loss=1.001887
Batch=1199, step=18000, lr=0.125250, batch loss=0.016738, epoch loss=1.018625
Epoch=14, step=18000, lr=0.125250, epoch loss=1.018625
Batch=59, step=18060, lr=0.124750, batch loss=0.010890, epoch loss=0.010890
Batch=119, step=18120, lr=0.124750, batch loss=0.020281, epoch loss=0.031171
Batch=179, step=18180, lr=0.124500, batch loss=0.033441, epoch loss=0.064612
Batch=239, step=18240, lr=0.124250, batch loss=0.036938, epoch loss=0.101550
Batch=299, step=18300, lr=0.124000, batch loss=0.011885, epoch loss=0.113435
Batch=359, step=18360, lr=0.123750, batch loss=0.023412, epoch loss=0.136846
Batch=419, step=18420, lr=0.123500, batch loss=0.029483, epoch loss=0.166329
Batch=479, step=18480, lr=0.123250, batch loss=0.018198, epoch loss=0.184527
Batch=539, step=18540, lr=0.123000, batch loss=0.031311, epoch loss=0.215838
Batch=599, step=18600, lr=0.122750, batch loss=0.025919, epoch loss=0.241758
Batch=659, step=18660, lr=0.122500, batch loss=0.030546, epoch loss=0.272303
Batch=719, step=18720, lr=0.122250, batch loss=0.045399, epoch loss=0.317702
Batch=779, step=18780, lr=0.122000, batch loss=0.112649, epoch loss=0.430351
Batch=839, step=18840, lr=0.121750, batch loss=0.054547, epoch loss=0.484898
Batch=899, step=18900, lr=0.121250, batch loss=0.055795, epoch loss=0.540692
Batch=959, step=18960, lr=0.121250, batch loss=0.013715, epoch loss=0.554408
Batch=1019, step=19020, lr=0.120750, batch loss=0.020916, epoch loss=0.575324
Batch=1079, step=19080, lr=0.120750, batch loss=0.009732, epoch loss=0.585056
Batch=1139, step=19140, lr=0.120500, batch loss=0.022672, epoch loss=0.607727
Batch=1199, step=19200, lr=0.120250, batch loss=0.009173, epoch loss=0.616900
Epoch=15, step=19200, lr=0.120250, epoch loss=0.616900
Batch=59, step=19260, lr=0.120000, batch loss=0.004001, epoch loss=0.004001
Batch=119, step=19320, lr=0.119750, batch loss=0.014818, epoch loss=0.018819
Batch=179, step=19380, lr=0.119500, batch loss=0.033925, epoch loss=0.052744
Batch=239, step=19440, lr=0.119250, batch loss=0.020220, epoch loss=0.072964
Batch=299, step=19500, lr=0.119000, batch loss=0.010772, epoch loss=0.083736
Batch=359, step=19560, lr=0.118750, batch loss=0.022846, epoch loss=0.106582
Batch=419, step=19620, lr=0.118250, batch loss=0.019142, epoch loss=0.125725
Batch=479, step=19680, lr=0.118250, batch loss=0.006254, epoch loss=0.131978
Batch=539, step=19740, lr=0.118000, batch loss=0.017765, epoch loss=0.149744
Batch=599, step=19800, lr=0.117750, batch loss=0.021833, epoch loss=0.171577
Batch=659, step=19860, lr=0.117500, batch loss=0.017651, epoch loss=0.189228
Batch=719, step=19920, lr=0.117000, batch loss=0.039083, epoch loss=0.228311
Batch=779, step=19980, lr=0.117000, batch loss=0.076509, epoch loss=0.304820
Batch=839, step=20040, lr=0.116750, batch loss=0.029728, epoch loss=0.334548
Batch=899, step=20100, lr=0.116500, batch loss=0.032093, epoch loss=0.366641
Batch=959, step=20160, lr=0.116250, batch loss=0.012256, epoch loss=0.378898
Batch=1019, step=20220, lr=0.116000, batch loss=0.016606, epoch loss=0.395503
Batch=1079, step=20280, lr=0.115750, batch loss=0.002382, epoch loss=0.397886
Batch=1139, step=20340, lr=0.115500, batch loss=0.014546, epoch loss=0.412432
Batch=1199, step=20400, lr=0.115250, batch loss=0.006929, epoch loss=0.419361
Epoch=16, step=20400, lr=0.115250, epoch loss=0.419361
Batch=59, step=20460, lr=0.115000, batch loss=0.003190, epoch loss=0.003190
Batch=119, step=20520, lr=0.114750, batch loss=0.008672, epoch loss=0.011862
Batch=179, step=20580, lr=0.114250, batch loss=0.020060, epoch loss=0.031922
Batch=239, step=20640, lr=0.114250, batch loss=0.019107, epoch loss=0.051030
Batch=299, step=20700, lr=0.114000, batch loss=0.009718, epoch loss=0.060747
Batch=359, step=20760, lr=0.113750, batch loss=0.013617, epoch loss=0.074365
Batch=419, step=20820, lr=0.113500, batch loss=0.014319, epoch loss=0.088683
Batch=479, step=20880, lr=0.113250, batch loss=0.003471, epoch loss=0.092154
Batch=539, step=20940, lr=0.113000, batch loss=0.018523, epoch loss=0.110677
Batch=599, step=21000, lr=0.112500, batch loss=0.019922, epoch loss=0.130599
Batch=659, step=21060, lr=0.112250, batch loss=0.016154, epoch loss=0.146753
Batch=719, step=21120, lr=0.112000, batch loss=0.035962, epoch loss=0.182715
Batch=779, step=21180, lr=0.111750, batch loss=0.075799, epoch loss=0.258514
Batch=839, step=21240, lr=0.111500, batch loss=0.026428, epoch loss=0.284942
Batch=899, step=21300, lr=0.111500, batch loss=0.033945, epoch loss=0.318887
Batch=959, step=21360, lr=0.111250, batch loss=0.009851, epoch loss=0.328738
Batch=1019, step=21420, lr=0.110750, batch loss=0.011855, epoch loss=0.340593
Batch=1079, step=21480, lr=0.110500, batch loss=0.000518, epoch loss=0.341111
Batch=1139, step=21540, lr=0.110250, batch loss=0.012001, epoch loss=0.353112
Batch=1199, step=21600, lr=0.110250, batch loss=0.004959, epoch loss=0.358072
Epoch=17, step=21600, lr=0.110250, epoch loss=0.358072
Batch=59, step=21660, lr=0.110000, batch loss=0.002146, epoch loss=0.002146
Batch=119, step=21720, lr=0.109750, batch loss=0.006433, epoch loss=0.008579
Batch=179, step=21780, lr=0.109500, batch loss=0.012617, epoch loss=0.021195
Batch=239, step=21840, lr=0.109000, batch loss=0.009132, epoch loss=0.030327
Batch=299, step=21900, lr=0.108750, batch loss=0.004445, epoch loss=0.034772
Batch=359, step=21960, lr=0.108500, batch loss=0.013397, epoch loss=0.048169
Batch=419, step=22020, lr=0.108500, batch loss=0.012057, epoch loss=0.060226
Batch=479, step=22080, lr=0.108250, batch loss=0.003031, epoch loss=0.063257
Batch=539, step=22140, lr=0.108000, batch loss=0.017307, epoch loss=0.080564
Batch=599, step=22200, lr=0.107750, batch loss=0.016999, epoch loss=0.097563
Batch=659, step=22260, lr=0.107500, batch loss=0.014499, epoch loss=0.112062
Batch=719, step=22320, lr=0.107250, batch loss=0.025979, epoch loss=0.138041
Batch=779, step=22380, lr=0.107000, batch loss=0.043290, epoch loss=0.181332
Batch=839, step=22440, lr=0.106750, batch loss=0.021668, epoch loss=0.203000
Batch=899, step=22500, lr=0.106500, batch loss=0.022119, epoch loss=0.225119
Batch=959, step=22560, lr=0.106250, batch loss=0.011018, epoch loss=0.236137
Batch=1019, step=22620, lr=0.106000, batch loss=0.009192, epoch loss=0.245329
Batch=1079, step=22680, lr=0.105750, batch loss=0.000043, epoch loss=0.245372
Batch=1139, step=22740, lr=0.105500, batch loss=0.010086, epoch loss=0.255459
Batch=1199, step=22800, lr=0.105250, batch loss=0.004628, epoch loss=0.260087
Epoch=18, step=22800, lr=0.105250, epoch loss=0.260087
Batch=59, step=22860, lr=0.105000, batch loss=0.001902, epoch loss=0.001902
Batch=119, step=22920, lr=0.104750, batch loss=0.005467, epoch loss=0.007369
Batch=179, step=22980, lr=0.104500, batch loss=0.010518, epoch loss=0.017887
Batch=239, step=23040, lr=0.104250, batch loss=0.009595, epoch loss=0.027482
Batch=299, step=23100, lr=0.104000, batch loss=0.010878, epoch loss=0.038360
Batch=359, step=23160, lr=0.103750, batch loss=0.012372, epoch loss=0.050732
Batch=419, step=23220, lr=0.103500, batch loss=0.010605, epoch loss=0.061337
Batch=479, step=23280, lr=0.103250, batch loss=0.002482, epoch loss=0.063819
Batch=539, step=23340, lr=0.103000, batch loss=0.016880, epoch loss=0.080699
Batch=599, step=23400, lr=0.102750, batch loss=0.013816, epoch loss=0.094515
Batch=659, step=23460, lr=0.102250, batch loss=0.010429, epoch loss=0.104944
Batch=719, step=23520, lr=0.102250, batch loss=0.013719, epoch loss=0.118663
Batch=779, step=23580, lr=0.102000, batch loss=0.022377, epoch loss=0.141040
Batch=839, step=23640, lr=0.101750, batch loss=0.028010, epoch loss=0.169050
Batch=899, step=23700, lr=0.101500, batch loss=0.021417, epoch loss=0.190466
Batch=959, step=23760, lr=0.101250, batch loss=0.009945, epoch loss=0.200411
Batch=1019, step=23820, lr=0.101000, batch loss=0.007239, epoch loss=0.207649
Batch=1079, step=23880, lr=0.100750, batch loss=0.000951, epoch loss=0.208600
Batch=1139, step=23940, lr=0.100500, batch loss=0.008720, epoch loss=0.217320
Batch=1199, step=24000, lr=0.100250, batch loss=0.004598, epoch loss=0.221918
Epoch=19, step=24000, lr=0.100250, epoch loss=0.221918


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 22:52.16 ---> saved as "6bbb61c55263603ffcbfeb1bec23c6887e47df56eefc8d0ac06f15b41a09a392"
Job succeeded
2025-03-20 22:52.17: Job succeeded