opensuse-15.6-5.3_opam-2.3

2025-03-21 12:35.26: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f874a4ef6a2411811f90ece5dd5e2dcdb77c2779) (linux-x86_64:opensuse-15.6-5.3_opam-2.3)
Base: ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard f874a4ef
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907
# opensuse-15.6-5.3_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-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 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 12:35.26: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907-opensuse-15.6-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-21 12:35.26: Using OBuilder spec:
((from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907)
(comment opensuse-15.6-5.3_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-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 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 12:35.26: Waiting for resource in pool OCluster
2025-03-21 12:35.27: Waiting for worker…
2025-03-21 12:36.09: Got resource from pool OCluster
Building on clete.caelum.ci.dev
All commits already cached
HEAD is now at f874a4ef Support non-diff "self" tensor inside backprop code


(from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907)
2025-03-21 12:36.10 ---> using "97c0fadd2a2f6fc0d6f7c024b06fdc5e37314bdc6a75a12d7cd819ed6ccf2aa0" from cache


/: (comment opensuse-15.6-5.3_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 12:36.10 ---> using "ae8deb97ac3f0d225fc1c09301f1ecf73216745312621d386a5a7c1d83af4ac0" 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
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 12:36.10 ---> using "b9e7493c2d0282d19720dc154beb4021e405218902724c60e81ee6d906a24ad1" 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 12:36.10 ---> using "59503f8b04c6e35ab7b00f105a136ae0ce66053ec9281c32268254d16b5cb3d4" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 12:36.10 ---> using "3336fd0a8b7aa274901f66563ebf4bbae201df957a49f9776cc6d20c7be356cc" 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)
2025-03-21 12:37.51 ---> saved as "6c01ad4ba882899c394b1e823611bfadb3a659182c71b239fa45a13cb8940235"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 12:37.52 ---> saved as "5e66a281da679ea54cc763b9eee1458a39f12e00c5f33d20db9db3b5ae6e3cb6"


/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 12:38.17 ---> saved as "deb43b2371e532ad7414ca188b199efb75a91f0069431d74f5f1b6b6223c7a2e"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 12:38.17 ---> saved as "f55e7ac5f29f517c31f26aaca6e22d29e8e4db7c25088e26154874f701058085"


/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-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 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 "zypper" "--non-interactive" "refresh"
- Retrieving repository 'Update repository of openSUSE Backports' metadata [...
- .........done]
- Building repository 'Update repository of openSUSE Backports' cache [..
- ..done]
- Retrieving repository 'Update repository with updates from SUSE Linux Enterprise 15' metadata [....
- .........
- ........
- .........
- ......
- ..done]
- Building repository 'Update repository with updates from SUSE Linux Enterprise 15' cache [..
- ..done]
- Repository 'Main Update Repository' is up to date.
- Repository 'Update Repository (Non-Oss)' is up to date.
- Repository 'Non-OSS Repository' is up to date.
- Repository 'Main Repository' is up to date.
- All repositories have been refreshed.


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


[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-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-devel


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


+ /usr/bin/sudo "zypper" "--non-interactive" "install" "libffi-devel"
- Loading repository data...
- Reading installed packages...
- Resolving package dependencies...
- 
- The following NEW package is going to be installed:
-   libffi-devel
- 
- 1 new package to install.
- 
- Package download size:    26.7 KiB
- 
- Package install size change:
-               |      29.1 KiB  required by packages that will be installed
-     29.1 KiB  |  -      0 B    released by packages that will be removed
- 
- Backend:  classic_rpmtrans
- Continue? [y/n/v/...? shows all options] (y): y
- Retrieving: libffi-devel-3.2.1.git259-10.8.x86_64 (Main Repository) (1/1),  26.7 KiB
- Retrieving: libffi-devel-3.2.1.git259-10.8.x86_64.rpm [..done (21.9 KiB/s)]
- 
- Checking for file conflicts: [..done]
- (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [..done]
2025-03-21 12:39.57 ---> saved as "a4a8b70afc2e1326b01fe86fdc48e5f6293744c067d363eeb9a6b275a2fb3303"


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


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved angstrom.0.16.1  (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 ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved num.1.5-1  (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 ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> 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 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 printbox.0.12
-> installed bigarray-compat.1.1.0
-> installed stdlib-shims.0.3.0
-> installed backoff.0.1.1
-> installed csexp.1.5.2
-> installed multicore-magic.2.3.1
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed sexplib0.v0.17.0
-> installed integers.0.7.0
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed cppo.1.8.0
-> installed re.1.12.0
-> installed saturn_lockfree.0.5.0
-> 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 printbox-html.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 uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_compare.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> 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 12:44.43 ---> saved as "307cbec0a019b53ccea6a5b6391e330ad124ad07b18d08f007ef372432e04c05"


/src: (copy (src .) (dst /src))
2025-03-21 12:44.44 ---> saved as "c522535598f15821666a1ccf052af281f6e98364e9bf6513d8cad5cc17793d26"


/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/2023683001a47069b651ff738c45f90d/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/2023683001a47069b651ff738c45f90d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2023683001a47069b651ff738c45f90d/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/2023683001a47069b651ff738c45f90d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2023683001a47069b651ff738c45f90d/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/2023683001a47069b651ff738c45f90d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2023683001a47069b651ff738c45f90d/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/09e9d821a68cb7f5d9659bdcb0fed5f7/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2023683001a47069b651ff738c45f90d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2023683001a47069b651ff738c45f90d/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/2023683001a47069b651ff738c45f90d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2023683001a47069b651ff738c45f90d/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/2023683001a47069b651ff738c45f90d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2023683001a47069b651ff738c45f90d/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/2023683001a47069b651ff738c45f90d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2023683001a47069b651ff738c45f90d/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/2023683001a47069b651ff738c45f90d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2023683001a47069b651ff738c45f90d/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/2023683001a47069b651ff738c45f90d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2023683001a47069b651ff738c45f90d/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/2023683001a47069b651ff738c45f90d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379
Batch=179, step=180, lr=0.199500, batch loss=2.644440, epoch loss=34.770819
Batch=239, step=240, lr=0.199000, batch loss=0.855278, epoch loss=35.626096
Batch=299, step=300, lr=0.199000, batch loss=1.435625, epoch loss=37.061721
Batch=359, step=360, lr=0.198750, batch loss=1.340057, epoch loss=38.401778
Batch=419, step=420, lr=0.198500, batch loss=0.610848, epoch loss=39.012626
Batch=479, step=480, lr=0.198000, batch loss=0.746921, epoch loss=39.759548
Batch=539, step=540, lr=0.197750, batch loss=0.687934, epoch loss=40.447482
Batch=599, step=600, lr=0.197500, batch loss=1.102411, epoch loss=41.549893
Batch=659, step=660, lr=0.197500, batch loss=0.481607, epoch loss=42.031500
Batch=719, step=720, lr=0.197250, batch loss=0.410589, epoch loss=42.442089
Batch=779, step=780, lr=0.197000, batch loss=0.469400, epoch loss=42.911489
Batch=839, step=840, lr=0.196750, batch loss=0.450151, epoch loss=43.361640
Batch=899, step=900, lr=0.196500, batch loss=0.383390, epoch loss=43.745030
Batch=959, step=960, lr=0.196250, batch loss=0.269191, epoch loss=44.014221
Batch=1019, step=1020, lr=0.196000, batch loss=0.485999, epoch loss=44.500221
Batch=1079, step=1080, lr=0.195750, batch loss=0.266963, epoch loss=44.767183
Batch=1139, step=1140, lr=0.195250, batch loss=0.329701, epoch loss=45.096885
Batch=1199, step=1200, lr=0.195250, batch loss=0.263596, epoch loss=45.360480
Epoch=0, step=1200, lr=0.195250, epoch loss=45.360480
Batch=59, step=1260, lr=0.195000, batch loss=0.263555, epoch loss=0.263555
Batch=119, step=1320, lr=0.194750, batch loss=0.208013, epoch loss=0.471568
Batch=179, step=1380, lr=0.194500, batch loss=0.249321, epoch loss=0.720888
Batch=239, step=1440, lr=0.194250, batch loss=0.351450, epoch loss=1.072339
Batch=299, step=1500, lr=0.194000, batch loss=0.236868, epoch loss=1.309207
Batch=359, step=1560, lr=0.193750, batch loss=0.313213, epoch loss=1.622419
Batch=419, step=1620, lr=0.193500, batch loss=0.312526, epoch loss=1.934945
Batch=479, step=1680, lr=0.193250, batch loss=0.277180, epoch loss=2.212125
Batch=539, step=1740, lr=0.193000, batch loss=0.209705, epoch loss=2.421830
Batch=599, step=1800, lr=0.192500, batch loss=0.245759, epoch loss=2.667589
Batch=659, step=1860, lr=0.192500, batch loss=0.362754, epoch loss=3.030343
Batch=719, step=1920, lr=0.192250, batch loss=0.357040, epoch loss=3.387383
Batch=779, step=1980, lr=0.192000, batch loss=0.382356, epoch loss=3.769739
Batch=839, step=2040, lr=0.191750, batch loss=0.342055, epoch loss=4.111794
Batch=899, step=2100, lr=0.191500, batch loss=0.295825, epoch loss=4.407619
Batch=959, step=2160, lr=0.191250, batch loss=0.215513, epoch loss=4.623132
Batch=1019, step=2220, lr=0.190750, batch loss=0.331689, epoch loss=4.954822
Batch=1079, step=2280, lr=0.190750, batch loss=0.196687, epoch loss=5.151508
Batch=1139, step=2340, lr=0.190500, batch loss=0.273458, epoch loss=5.424967
Batch=1199, step=2400, lr=0.190250, batch loss=0.221041, epoch loss=5.646007
Epoch=1, step=2400, lr=0.190250, epoch loss=5.646007
Batch=59, step=2460, lr=0.190000, batch loss=0.229924, epoch loss=0.229924
Batch=119, step=2520, lr=0.189750, batch loss=0.194151, epoch loss=0.424075
Batch=179, step=2580, lr=0.189500, batch loss=0.222155, epoch loss=0.646230
Batch=239, step=2640, lr=0.189250, batch loss=0.328100, epoch loss=0.974330
Batch=299, step=2700, lr=0.189000, batch loss=0.205100, epoch loss=1.179430
Batch=359, step=2760, lr=0.188750, batch loss=0.293754, epoch loss=1.473184
Batch=419, step=2820, lr=0.188500, batch loss=0.284958, epoch loss=1.758142
Batch=479, step=2880, lr=0.188250, batch loss=0.263373, epoch loss=2.021515
Batch=539, step=2940, lr=0.188000, batch loss=0.201938, epoch loss=2.223453
Batch=599, step=3000, lr=0.187750, batch loss=0.245879, epoch loss=2.469332
Batch=659, step=3060, lr=0.187500, batch loss=0.346815, epoch loss=2.816147
Batch=719, step=3120, lr=0.187000, batch loss=0.347978, epoch loss=3.164125
Batch=779, step=3180, lr=0.187000, batch loss=0.365937, epoch loss=3.530062
Batch=839, step=3240, lr=0.186750, batch loss=0.324389, epoch loss=3.854451
Batch=899, step=3300, lr=0.186250, batch loss=0.291152, epoch loss=4.145603
Batch=959, step=3360, lr=0.186250, batch loss=0.223101, epoch loss=4.368704
Batch=1019, step=3420, lr=0.186000, batch loss=0.345364, epoch loss=4.714068
Batch=1079, step=3480, lr=0.185750, batch loss=0.226043, epoch loss=4.940110
Batch=1139, step=3540, lr=0.185500, batch loss=0.266340, epoch loss=5.206451
Batch=1199, step=3600, lr=0.185250, batch loss=0.199794, epoch loss=5.406245
Epoch=2, step=3600, lr=0.185250, epoch loss=5.406245
Batch=59, step=3660, lr=0.185000, batch loss=0.226325, epoch loss=0.226325
Batch=119, step=3720, lr=0.184750, batch loss=0.187427, epoch loss=0.413752
Batch=179, step=3780, lr=0.184500, batch loss=0.213181, epoch loss=0.626933
Batch=239, step=3840, lr=0.184250, batch loss=0.316583, epoch loss=0.943516
Batch=299, step=3900, lr=0.184000, batch loss=0.205339, epoch loss=1.148855
Batch=359, step=3960, lr=0.183750, batch loss=0.289132, epoch loss=1.437987
Batch=419, step=4020, lr=0.183500, batch loss=0.275089, epoch loss=1.713076
Batch=479, step=4080, lr=0.183250, batch loss=0.260512, epoch loss=1.973588
Batch=539, step=4140, lr=0.183000, batch loss=0.195122, epoch loss=2.168710
Batch=599, step=4200, lr=0.182750, batch loss=0.230239, epoch loss=2.398949
Batch=659, step=4260, lr=0.182500, batch loss=0.331560, epoch loss=2.730509
Batch=719, step=4320, lr=0.182250, batch loss=0.335773, epoch loss=3.066282
Batch=779, step=4380, lr=0.182000, batch loss=0.357658, epoch loss=3.423940
Batch=839, step=4440, lr=0.181750, batch loss=0.313955, epoch loss=3.737896
Batch=899, step=4500, lr=0.181500, batch loss=0.279475, epoch loss=4.017371
Batch=959, step=4560, lr=0.181250, batch loss=0.209036, epoch loss=4.226407
Batch=1019, step=4620, lr=0.181000, batch loss=0.318024, epoch loss=4.544431
Batch=1079, step=4680, lr=0.180750, batch loss=0.204837, epoch loss=4.749268
Batch=1139, step=4740, lr=0.180500, batch loss=0.254293, epoch loss=5.003561
Batch=1199, step=4800, lr=0.180250, batch loss=0.191416, epoch loss=5.194976
Epoch=3, step=4800, lr=0.180250, epoch loss=5.194976
Batch=59, step=4860, lr=0.180000, batch loss=0.228535, epoch loss=0.228535
Batch=119, step=4920, lr=0.179750, batch loss=0.190458, epoch loss=0.418993
Batch=179, step=4980, lr=0.179500, batch loss=0.206671, epoch loss=0.625665
Batch=239, step=5040, lr=0.179250, batch loss=0.307692, epoch loss=0.933357
Batch=299, step=5100, lr=0.179000, batch loss=0.200936, epoch loss=1.134293
Batch=359, step=5160, lr=0.178750, batch loss=0.272737, epoch loss=1.407029
Batch=419, step=5220, lr=0.178500, batch loss=0.264827, epoch loss=1.671856
Batch=479, step=5280, lr=0.178250, batch loss=0.240540, epoch loss=1.912396
Batch=539, step=5340, lr=0.178000, batch loss=0.190277, epoch loss=2.102673
Batch=599, step=5400, lr=0.177750, batch loss=0.232166, epoch loss=2.334840
Batch=659, step=5460, lr=0.177500, batch loss=0.324327, epoch loss=2.659167
Batch=719, step=5520, lr=0.177250, batch loss=0.326284, epoch loss=2.985451
Batch=779, step=5580, lr=0.177000, batch loss=0.339015, epoch loss=3.324466
Batch=839, step=5640, lr=0.176750, batch loss=0.314633, epoch loss=3.639100
Batch=899, step=5700, lr=0.176500, batch loss=0.278321, epoch loss=3.917421
Batch=959, step=5760, lr=0.176250, batch loss=0.220817, epoch loss=4.138237
Batch=1019, step=5820, lr=0.176000, batch loss=0.334773, epoch loss=4.473010
Batch=1079, step=5880, lr=0.175750, batch loss=0.199548, epoch loss=4.672558
Batch=1139, step=5940, lr=0.175500, batch loss=0.238952, epoch loss=4.911511
Batch=1199, step=6000, lr=0.175250, batch loss=0.186323, epoch loss=5.097834
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097834
Batch=59, step=6060, lr=0.175000, batch loss=0.233386, epoch loss=0.233386
Batch=119, step=6120, lr=0.174750, batch loss=0.193244, epoch loss=0.426630
Batch=179, step=6180, lr=0.174500, batch loss=0.202567, epoch loss=0.629197
Batch=239, step=6240, lr=0.174000, batch loss=0.299661, epoch loss=0.928858
Batch=299, step=6300, lr=0.174000, batch loss=0.198663, epoch loss=1.127520
Batch=359, step=6360, lr=0.173750, batch loss=0.265519, epoch loss=1.393040
Batch=419, step=6420, lr=0.173500, batch loss=0.258281, epoch loss=1.651321
Batch=479, step=6480, lr=0.173250, batch loss=0.232010, epoch loss=1.883331
Batch=539, step=6540, lr=0.173000, batch loss=0.190923, epoch loss=2.074254
Batch=599, step=6600, lr=0.172750, batch loss=0.232538, epoch loss=2.306792
Batch=659, step=6660, lr=0.172500, batch loss=0.313502, epoch loss=2.620295
Batch=719, step=6720, lr=0.172250, batch loss=0.317857, epoch loss=2.938152
Batch=779, step=6780, lr=0.172000, batch loss=0.329621, epoch loss=3.267773
Batch=839, step=6840, lr=0.171750, batch loss=0.301512, epoch loss=3.569285
Batch=899, step=6900, lr=0.171500, batch loss=0.270670, epoch loss=3.839955
Batch=959, step=6960, lr=0.171250, batch loss=0.206708, epoch loss=4.046663
Batch=1019, step=7020, lr=0.171000, batch loss=0.331915, epoch loss=4.378578
Batch=1079, step=7080, lr=0.170750, batch loss=0.183753, epoch loss=4.562331
Batch=1139, step=7140, lr=0.170500, batch loss=0.217095, epoch loss=4.779426
Batch=1199, step=7200, lr=0.170250, batch loss=0.182901, epoch loss=4.962327
Epoch=5, step=7200, lr=0.170250, epoch loss=4.962327
Batch=59, step=7260, lr=0.169750, batch loss=0.235462, epoch loss=0.235462
Batch=119, step=7320, lr=0.169750, batch loss=0.184031, epoch loss=0.419493
Batch=179, step=7380, lr=0.169500, batch loss=0.196437, epoch loss=0.615929
Batch=239, step=7440, lr=0.169250, batch loss=0.294757, epoch loss=0.910686
Batch=299, step=7500, lr=0.169000, batch loss=0.204562, epoch loss=1.115248
Batch=359, step=7560, lr=0.168750, batch loss=0.265234, epoch loss=1.380482
Batch=419, step=7620, lr=0.168500, batch loss=0.258364, epoch loss=1.638846
Batch=479, step=7680, lr=0.168250, batch loss=0.237002, epoch loss=1.875849
Batch=539, step=7740, lr=0.168000, batch loss=0.189686, epoch loss=2.065534
Batch=599, step=7800, lr=0.167750, batch loss=0.231347, epoch loss=2.296881
Batch=659, step=7860, lr=0.167500, batch loss=0.308357, epoch loss=2.605238
Batch=719, step=7920, lr=0.167250, batch loss=0.308212, epoch loss=2.913450
Batch=779, step=7980, lr=0.167000, batch loss=0.324473, epoch loss=3.237923
Batch=839, step=8040, lr=0.166750, batch loss=0.296301, epoch loss=3.534224
Batch=899, step=8100, lr=0.166500, batch loss=0.260916, epoch loss=3.795140
Batch=959, step=8160, lr=0.166250, batch loss=0.207365, epoch loss=4.002505
Batch=1019, step=8220, lr=0.166000, batch loss=0.318410, epoch loss=4.320916
Batch=1079, step=8280, lr=0.165750, batch loss=0.169018, epoch loss=4.489934
Batch=1139, step=8340, lr=0.165500, batch loss=0.205729, epoch loss=4.695663
Batch=1199, step=8400, lr=0.165250, batch loss=0.184975, epoch loss=4.880638
Epoch=6, step=8400, lr=0.165250, epoch loss=4.880638
Batch=59, step=8460, lr=0.165000, batch loss=0.216444, epoch loss=0.216444
Batch=119, step=8520, lr=0.164750, batch loss=0.186070, epoch loss=0.402514
Batch=179, step=8580, lr=0.164500, batch loss=0.188233, epoch loss=0.590748
Batch=239, step=8640, lr=0.164250, batch loss=0.279207, epoch loss=0.869954
Batch=299, step=8700, lr=0.163750, batch loss=0.192991, epoch loss=1.062945
Batch=359, step=8760, lr=0.163750, batch loss=0.248941, epoch loss=1.311886
Batch=419, step=8820, lr=0.163500, batch loss=0.245286, epoch loss=1.557173
Batch=479, step=8880, lr=0.163000, batch loss=0.228157, epoch loss=1.785330
Batch=539, step=8940, lr=0.162750, batch loss=0.180424, epoch loss=1.965754
Batch=599, step=9000, lr=0.162750, batch loss=0.217040, epoch loss=2.182794
Batch=659, step=9060, lr=0.162500, batch loss=0.294225, epoch loss=2.477019
Batch=719, step=9120, lr=0.162250, batch loss=0.296388, epoch loss=2.773406
Batch=779, step=9180, lr=0.162000, batch loss=0.316209, epoch loss=3.089616
Batch=839, step=9240, lr=0.161750, batch loss=0.287864, epoch loss=3.377480
Batch=899, step=9300, lr=0.161500, batch loss=0.250146, epoch loss=3.627626
Batch=959, step=9360, lr=0.161250, batch loss=0.193923, epoch loss=3.821549
Batch=1019, step=9420, lr=0.161000, batch loss=0.316461, epoch loss=4.138010
Batch=1079, step=9480, lr=0.160750, batch loss=0.190634, epoch loss=4.328644
Batch=1139, step=9540, lr=0.160500, batch loss=0.212378, epoch loss=4.541022
Batch=1199, step=9600, lr=0.160250, batch loss=0.166554, epoch loss=4.707576
Epoch=7, step=9600, lr=0.160250, epoch loss=4.707576
Batch=59, step=9660, lr=0.160000, batch loss=0.200279, epoch loss=0.200279
Batch=119, step=9720, lr=0.159750, batch loss=0.164476, epoch loss=0.364755
Batch=179, step=9780, lr=0.159500, batch loss=0.178754, epoch loss=0.543509
Batch=239, step=9840, lr=0.159000, batch loss=0.263393, epoch loss=0.806903
Batch=299, step=9900, lr=0.158750, batch loss=0.182423, epoch loss=0.989326
Batch=359, step=9960, lr=0.158750, batch loss=0.244380, epoch loss=1.233706
Batch=419, step=10020, lr=0.158500, batch loss=0.245715, epoch loss=1.479421
Batch=479, step=10080, lr=0.158000, batch loss=0.222924, epoch loss=1.702345
Batch=539, step=10140, lr=0.158000, batch loss=0.165286, epoch loss=1.867631
Batch=599, step=10200, lr=0.157750, batch loss=0.197485, epoch loss=2.065116
Batch=659, step=10260, lr=0.157250, batch loss=0.283211, epoch loss=2.348327
Batch=719, step=10320, lr=0.157250, batch loss=0.278826, epoch loss=2.627153
Batch=779, step=10380, lr=0.157000, batch loss=0.297356, epoch loss=2.924509
Batch=839, step=10440, lr=0.156750, batch loss=0.270107, epoch loss=3.194616
Batch=899, step=10500, lr=0.156500, batch loss=0.237668, epoch loss=3.432284
Batch=959, step=10560, lr=0.156250, batch loss=0.176848, epoch loss=3.609132
Batch=1019, step=10620, lr=0.156000, batch loss=0.301793, epoch loss=3.910925
Batch=1079, step=10680, lr=0.155750, batch loss=0.178530, epoch loss=4.089455
Batch=1139, step=10740, lr=0.155500, batch loss=0.201770, epoch loss=4.291225
Batch=1199, step=10800, lr=0.155250, batch loss=0.155347, epoch loss=4.446572
Epoch=8, step=10800, lr=0.155250, epoch loss=4.446572
Batch=59, step=10860, lr=0.155000, batch loss=0.177576, epoch loss=0.177576
Batch=119, step=10920, lr=0.154750, batch loss=0.154323, epoch loss=0.331899
Batch=179, step=10980, lr=0.154500, batch loss=0.166731, epoch loss=0.498630
Batch=239, step=11040, lr=0.154250, batch loss=0.245705, epoch loss=0.744335
Batch=299, step=11100, lr=0.154000, batch loss=0.162272, epoch loss=0.906607
Batch=359, step=11160, lr=0.153750, batch loss=0.226213, epoch loss=1.132820
Batch=419, step=11220, lr=0.153500, batch loss=0.235528, epoch loss=1.368347
Batch=479, step=11280, lr=0.153250, batch loss=0.198808, epoch loss=1.567155
Batch=539, step=11340, lr=0.153000, batch loss=0.158638, epoch loss=1.725793
Batch=599, step=11400, lr=0.152750, batch loss=0.180264, epoch loss=1.906058
Batch=659, step=11460, lr=0.152500, batch loss=0.263588, epoch loss=2.169645
Batch=719, step=11520, lr=0.152250, batch loss=0.257179, epoch loss=2.426824
Batch=779, step=11580, lr=0.152000, batch loss=0.272814, epoch loss=2.699638
Batch=839, step=11640, lr=0.151750, batch loss=0.256728, epoch loss=2.956367
Batch=899, step=11700, lr=0.151500, batch loss=0.218260, epoch loss=3.174626
Batch=959, step=11760, lr=0.151250, batch loss=0.186005, epoch loss=3.360631
Batch=1019, step=11820, lr=0.151000, batch loss=0.280189, epoch loss=3.640821
Batch=1079, step=11880, lr=0.150750, batch loss=0.159925, epoch loss=3.800746
Batch=1139, step=11940, lr=0.150500, batch loss=0.190457, epoch loss=3.991203
Batch=1199, step=12000, lr=0.150250, batch loss=0.140343, epoch loss=4.131546
Epoch=9, step=12000, lr=0.150250, epoch loss=4.131546
Batch=59, step=12060, lr=0.150000, batch loss=0.159952, epoch loss=0.159952
Batch=119, step=12120, lr=0.149750, batch loss=0.128391, epoch loss=0.288343
Batch=179, step=12180, lr=0.149500, batch loss=0.153033, epoch loss=0.441376
Batch=239, step=12240, lr=0.149250, batch loss=0.223298, epoch loss=0.664674
Batch=299, step=12300, lr=0.149000, batch loss=0.145560, epoch loss=0.810234
Batch=359, step=12360, lr=0.148500, batch loss=0.196078, epoch loss=1.006312
Batch=419, step=12420, lr=0.148500, batch loss=0.208358, epoch loss=1.214670
Batch=479, step=12480, lr=0.148250, batch loss=0.178559, epoch loss=1.393229
Batch=539, step=12540, lr=0.148000, batch loss=0.143705, epoch loss=1.536934
Batch=599, step=12600, lr=0.147750, batch loss=0.150623, epoch loss=1.687557
Batch=659, step=12660, lr=0.147500, batch loss=0.226587, epoch loss=1.914144
Batch=719, step=12720, lr=0.147250, batch loss=0.235173, epoch loss=2.149317
Batch=779, step=12780, lr=0.147000, batch loss=0.254383, epoch loss=2.403701
Batch=839, step=12840, lr=0.146750, batch loss=0.223007, epoch loss=2.626707
Batch=899, step=12900, lr=0.146500, batch loss=0.188506, epoch loss=2.815213
Batch=959, step=12960, lr=0.146000, batch loss=0.168903, epoch loss=2.984116
Batch=1019, step=13020, lr=0.146000, batch loss=0.272276, epoch loss=3.256392
Batch=1079, step=13080, lr=0.145750, batch loss=0.112522, epoch loss=3.368914
Batch=1139, step=13140, lr=0.145500, batch loss=0.157286, epoch loss=3.526200
Batch=1199, step=13200, lr=0.145250, batch loss=0.118572, epoch loss=3.644772
Epoch=10, step=13200, lr=0.145250, epoch loss=3.644772
Batch=59, step=13260, lr=0.145000, batch loss=0.142816, epoch loss=0.142816
Batch=119, step=13320, lr=0.144750, batch loss=0.120357, epoch loss=0.263173
Batch=179, step=13380, lr=0.144500, batch loss=0.129251, epoch loss=0.392425
Batch=239, step=13440, lr=0.144250, batch loss=0.190518, epoch loss=0.582943
Batch=299, step=13500, lr=0.144000, batch loss=0.111414, epoch loss=0.694356
Batch=359, step=13560, lr=0.143750, batch loss=0.164041, epoch loss=0.858398
Batch=419, step=13620, lr=0.143500, batch loss=0.160920, epoch loss=1.019317
Batch=479, step=13680, lr=0.143250, batch loss=0.148526, epoch loss=1.167843
Batch=539, step=13740, lr=0.143000, batch loss=0.118008, epoch loss=1.285851
Batch=599, step=13800, lr=0.142750, batch loss=0.121366, epoch loss=1.407217
Batch=659, step=13860, lr=0.142500, batch loss=0.181055, epoch loss=1.588272
Batch=719, step=13920, lr=0.142250, batch loss=0.184698, epoch loss=1.772971
Batch=779, step=13980, lr=0.142000, batch loss=0.209384, epoch loss=1.982354
Batch=839, step=14040, lr=0.141750, batch loss=0.208254, epoch loss=2.190609
Batch=899, step=14100, lr=0.141500, batch loss=0.222312, epoch loss=2.412921
Batch=959, step=14160, lr=0.141250, batch loss=0.101426, epoch loss=2.514347
Batch=1019, step=14220, lr=0.141000, batch loss=0.202272, epoch loss=2.716619
Batch=1079, step=14280, lr=0.140750, batch loss=0.078043, epoch loss=2.794662
Batch=1139, step=14340, lr=0.140500, batch loss=0.122362, epoch loss=2.917025
Batch=1199, step=14400, lr=0.140250, batch loss=0.085691, epoch loss=3.002715
Epoch=11, step=14400, lr=0.140250, epoch loss=3.002715
Batch=59, step=14460, lr=0.140000, batch loss=0.109958, epoch loss=0.109958
Batch=119, step=14520, lr=0.139500, batch loss=0.104044, epoch loss=0.214002
Batch=179, step=14580, lr=0.139500, batch loss=0.100813, epoch loss=0.314815
Batch=239, step=14640, lr=0.139250, batch loss=0.143616, epoch loss=0.458432
Batch=299, step=14700, lr=0.139000, batch loss=0.076073, epoch loss=0.534505
Batch=359, step=14760, lr=0.138750, batch loss=0.122253, epoch loss=0.656758
Batch=419, step=14820, lr=0.138500, batch loss=0.129963, epoch loss=0.786721
Batch=479, step=14880, lr=0.138250, batch loss=0.103883, epoch loss=0.890604
Batch=539, step=14940, lr=0.138000, batch loss=0.114662, epoch loss=1.005266
Batch=599, step=15000, lr=0.137750, batch loss=0.084970, epoch loss=1.090236
Batch=659, step=15060, lr=0.137500, batch loss=0.131146, epoch loss=1.221382
Batch=719, step=15120, lr=0.137250, batch loss=0.119741, epoch loss=1.341124
Batch=779, step=15180, lr=0.137000, batch loss=0.138398, epoch loss=1.479521
Batch=839, step=15240, lr=0.136500, batch loss=0.169122, epoch loss=1.648644
Batch=899, step=15300, lr=0.136500, batch loss=0.287452, epoch loss=1.936096
Batch=959, step=15360, lr=0.136250, batch loss=0.062966, epoch loss=1.999062
Batch=1019, step=15420, lr=0.136000, batch loss=0.133825, epoch loss=2.132887
Batch=1079, step=15480, lr=0.135750, batch loss=0.046043, epoch loss=2.178930
Batch=1139, step=15540, lr=0.135250, batch loss=0.100728, epoch loss=2.279657
Batch=1199, step=15600, lr=0.135000, batch loss=0.059387, epoch loss=2.339044
Epoch=12, step=15600, lr=0.135000, epoch loss=2.339044
Batch=59, step=15660, lr=0.135000, batch loss=0.076989, epoch loss=0.076989
Batch=119, step=15720, lr=0.134500, batch loss=0.106214, epoch loss=0.183203
Batch=179, step=15780, lr=0.134500, batch loss=0.089190, epoch loss=0.272392
Batch=239, step=15840, lr=0.134250, batch loss=0.093719, epoch loss=0.366111
Batch=299, step=15900, lr=0.134000, batch loss=0.040265, epoch loss=0.406376
Batch=359, step=15960, lr=0.133750, batch loss=0.078954, epoch loss=0.485330
Batch=419, step=16020, lr=0.133500, batch loss=0.081207, epoch loss=0.566537
Batch=479, step=16080, lr=0.133250, batch loss=0.066931, epoch loss=0.633468
Batch=539, step=16140, lr=0.133000, batch loss=0.056580, epoch loss=0.690048
Batch=599, step=16200, lr=0.132750, batch loss=0.113846, epoch loss=0.803894
Batch=659, step=16260, lr=0.132500, batch loss=0.079008, epoch loss=0.882902
Batch=719, step=16320, lr=0.132250, batch loss=0.086727, epoch loss=0.969629
Batch=779, step=16380, lr=0.132000, batch loss=0.114932, epoch loss=1.084561
Batch=839, step=16440, lr=0.131750, batch loss=0.111611, epoch loss=1.196172
Batch=899, step=16500, lr=0.131500, batch loss=0.146655, epoch loss=1.342827
Batch=959, step=16560, lr=0.131000, batch loss=0.047525, epoch loss=1.390353
Batch=1019, step=16620, lr=0.130750, batch loss=0.115441, epoch loss=1.505794
Batch=1079, step=16680, lr=0.130750, batch loss=0.022832, epoch loss=1.528626
Batch=1139, step=16740, lr=0.130500, batch loss=0.055732, epoch loss=1.584358
Batch=1199, step=16800, lr=0.130250, batch loss=0.031006, epoch loss=1.615364
Epoch=13, step=16800, lr=0.130250, epoch loss=1.615364
Batch=59, step=16860, lr=0.130000, batch loss=0.037385, epoch loss=0.037385
Batch=119, step=16920, lr=0.129750, batch loss=0.052045, epoch loss=0.089431
Batch=179, step=16980, lr=0.129500, batch loss=0.049514, epoch loss=0.138945
Batch=239, step=17040, lr=0.129250, batch loss=0.070088, epoch loss=0.209033
Batch=299, step=17100, lr=0.129000, batch loss=0.046641, epoch loss=0.255674
Batch=359, step=17160, lr=0.128750, batch loss=0.060730, epoch loss=0.316404
Batch=419, step=17220, lr=0.128500, batch loss=0.123804, epoch loss=0.440208
Batch=479, step=17280, lr=0.128250, batch loss=0.028060, epoch loss=0.468268
Batch=539, step=17340, lr=0.128000, batch loss=0.034198, epoch loss=0.502465
Batch=599, step=17400, lr=0.127750, batch loss=0.054630, epoch loss=0.557095
Batch=659, step=17460, lr=0.127500, batch loss=0.048207, epoch loss=0.605302
Batch=719, step=17520, lr=0.127000, batch loss=0.042975, epoch loss=0.648277
Batch=779, step=17580, lr=0.127000, batch loss=0.075521, epoch loss=0.723799
Batch=839, step=17640, lr=0.126750, batch loss=0.070949, epoch loss=0.794748
Batch=899, step=17700, lr=0.126500, batch loss=0.084072, epoch loss=0.878819
Batch=959, step=17760, lr=0.126250, batch loss=0.025196, epoch loss=0.904016
Batch=1019, step=17820, lr=0.126000, batch loss=0.048882, epoch loss=0.952898
Batch=1079, step=17880, lr=0.125750, batch loss=0.035085, epoch loss=0.987983
Batch=1139, step=17940, lr=0.125500, batch loss=0.059526, epoch loss=1.047509
Batch=1199, step=18000, lr=0.125250, batch loss=0.021135, epoch loss=1.068644
Epoch=14, step=18000, lr=0.125250, epoch loss=1.068644
Batch=59, step=18060, lr=0.125000, batch loss=0.013591, epoch loss=0.013591
Batch=119, step=18120, lr=0.124750, batch loss=0.018869, epoch loss=0.032460
Batch=179, step=18180, lr=0.124500, batch loss=0.029380, epoch loss=0.061839
Batch=239, step=18240, lr=0.124000, batch loss=0.034050, epoch loss=0.095889
Batch=299, step=18300, lr=0.124000, batch loss=0.008237, epoch loss=0.104126
Batch=359, step=18360, lr=0.123750, batch loss=0.025084, epoch loss=0.129210
Batch=419, step=18420, lr=0.123500, batch loss=0.030691, epoch loss=0.159901
Batch=479, step=18480, lr=0.123250, batch loss=0.014387, epoch loss=0.174288
Batch=539, step=18540, lr=0.122750, batch loss=0.020647, epoch loss=0.194935
Batch=599, step=18600, lr=0.122500, batch loss=0.027676, epoch loss=0.222611
Batch=659, step=18660, lr=0.122500, batch loss=0.026396, epoch loss=0.249007
Batch=719, step=18720, lr=0.122000, batch loss=0.044365, epoch loss=0.293373
Batch=779, step=18780, lr=0.122000, batch loss=0.090377, epoch loss=0.383750
Batch=839, step=18840, lr=0.121750, batch loss=0.067483, epoch loss=0.451233
Batch=899, step=18900, lr=0.121500, batch loss=0.087428, epoch loss=0.538661
Batch=959, step=18960, lr=0.121250, batch loss=0.014761, epoch loss=0.553422
Batch=1019, step=19020, lr=0.121000, batch loss=0.016793, epoch loss=0.570215
Batch=1079, step=19080, lr=0.120750, batch loss=0.002461, epoch loss=0.572676
Batch=1139, step=19140, lr=0.120500, batch loss=0.019409, epoch loss=0.592085
Batch=1199, step=19200, lr=0.120250, batch loss=0.011100, epoch loss=0.603186
Epoch=15, step=19200, lr=0.120250, epoch loss=0.603186
Batch=59, step=19260, lr=0.120000, batch loss=0.007156, epoch loss=0.007156
Batch=119, step=19320, lr=0.119750, batch loss=0.020723, epoch loss=0.027879
Batch=179, step=19380, lr=0.119500, batch loss=0.058750, epoch loss=0.086628
Batch=239, step=19440, lr=0.119250, batch loss=0.026522, epoch loss=0.113150
Batch=299, step=19500, lr=0.119000, batch loss=0.011465, epoch loss=0.124615
Batch=359, step=19560, lr=0.118750, batch loss=0.023428, epoch loss=0.148044
Batch=419, step=19620, lr=0.118500, batch loss=0.020199, epoch loss=0.168242
Batch=479, step=19680, lr=0.118250, batch loss=0.007191, epoch loss=0.175433
Batch=539, step=19740, lr=0.118000, batch loss=0.016493, epoch loss=0.191927
Batch=599, step=19800, lr=0.117750, batch loss=0.023992, epoch loss=0.215919
Batch=659, step=19860, lr=0.117500, batch loss=0.020929, epoch loss=0.236848
Batch=719, step=19920, lr=0.117250, batch loss=0.048728, epoch loss=0.285576
Batch=779, step=19980, lr=0.117000, batch loss=0.077580, epoch loss=0.363156
Batch=839, step=20040, lr=0.116750, batch loss=0.030666, epoch loss=0.393822
Batch=899, step=20100, lr=0.116500, batch loss=0.032058, epoch loss=0.425880
Batch=959, step=20160, lr=0.116250, batch loss=0.012085, epoch loss=0.437965
Batch=1019, step=20220, lr=0.116000, batch loss=0.013521, epoch loss=0.451486
Batch=1079, step=20280, lr=0.115750, batch loss=0.001467, epoch loss=0.452953
Batch=1139, step=20340, lr=0.115500, batch loss=0.015188, epoch loss=0.468141
Batch=1199, step=20400, lr=0.115250, batch loss=0.008312, epoch loss=0.476454
Epoch=16, step=20400, lr=0.115250, epoch loss=0.476454
Batch=59, step=20460, lr=0.114750, batch loss=0.004536, epoch loss=0.004536
Batch=119, step=20520, lr=0.114500, batch loss=0.010080, epoch loss=0.014615
Batch=179, step=20580, lr=0.114500, batch loss=0.024834, epoch loss=0.039449
Batch=239, step=20640, lr=0.114250, batch loss=0.015887, epoch loss=0.055336
Batch=299, step=20700, lr=0.114000, batch loss=0.003824, epoch loss=0.059160
Batch=359, step=20760, lr=0.113750, batch loss=0.013567, epoch loss=0.072727
Batch=419, step=20820, lr=0.113500, batch loss=0.014016, epoch loss=0.086743
Batch=479, step=20880, lr=0.113250, batch loss=0.004589, epoch loss=0.091332
Batch=539, step=20940, lr=0.113000, batch loss=0.015189, epoch loss=0.106521
Batch=599, step=21000, lr=0.112750, batch loss=0.017750, epoch loss=0.124270
Batch=659, step=21060, lr=0.112500, batch loss=0.015865, epoch loss=0.140136
Batch=719, step=21120, lr=0.112250, batch loss=0.038487, epoch loss=0.178622
Batch=779, step=21180, lr=0.112000, batch loss=0.065499, epoch loss=0.244121
Batch=839, step=21240, lr=0.111500, batch loss=0.024784, epoch loss=0.268905
Batch=899, step=21300, lr=0.111500, batch loss=0.027142, epoch loss=0.296048
Batch=959, step=21360, lr=0.111250, batch loss=0.010011, epoch loss=0.306059
Batch=1019, step=21420, lr=0.111000, batch loss=0.010399, epoch loss=0.316458
Batch=1079, step=21480, lr=0.110750, batch loss=0.001434, epoch loss=0.317891
Batch=1139, step=21540, lr=0.110500, batch loss=0.012388, epoch loss=0.330280
Batch=1199, step=21600, lr=0.110250, batch loss=0.004873, epoch loss=0.335152
Epoch=17, step=21600, lr=0.110250, epoch loss=0.335152
Batch=59, step=21660, lr=0.110000, batch loss=0.001912, epoch loss=0.001912
Batch=119, step=21720, lr=0.109750, batch loss=0.006415, epoch loss=0.008326
Batch=179, step=21780, lr=0.109500, batch loss=0.012531, epoch loss=0.020858
Batch=239, step=21840, lr=0.109250, batch loss=0.009834, epoch loss=0.030692
Batch=299, step=21900, lr=0.109000, batch loss=0.014269, epoch loss=0.044961
Batch=359, step=21960, lr=0.108750, batch loss=0.014057, epoch loss=0.059017
Batch=419, step=22020, lr=0.108500, batch loss=0.012022, epoch loss=0.071040
Batch=479, step=22080, lr=0.108000, batch loss=0.002518, epoch loss=0.073558
Batch=539, step=22140, lr=0.108000, batch loss=0.016336, epoch loss=0.089894
Batch=599, step=22200, lr=0.107750, batch loss=0.015328, epoch loss=0.105222
Batch=659, step=22260, lr=0.107500, batch loss=0.013486, epoch loss=0.118708
Batch=719, step=22320, lr=0.107000, batch loss=0.020934, epoch loss=0.139642
Batch=779, step=22380, lr=0.106750, batch loss=0.032165, epoch loss=0.171807
Batch=839, step=22440, lr=0.106750, batch loss=0.026847, epoch loss=0.198654
Batch=899, step=22500, lr=0.106500, batch loss=0.025941, epoch loss=0.224595
Batch=959, step=22560, lr=0.106000, batch loss=0.008459, epoch loss=0.233054
Batch=1019, step=22620, lr=0.106000, batch loss=0.008374, epoch loss=0.241428
Batch=1079, step=22680, lr=0.105750, batch loss=0.000800, epoch loss=0.242228
Batch=1139, step=22740, lr=0.105500, batch loss=0.010171, epoch loss=0.252399
Batch=1199, step=22800, lr=0.105250, batch loss=0.004636, epoch loss=0.257035
Epoch=18, step=22800, lr=0.105250, epoch loss=0.257035
Batch=59, step=22860, lr=0.105000, batch loss=0.001480, epoch loss=0.001480
Batch=119, step=22920, lr=0.104750, batch loss=0.005055, epoch loss=0.006535
Batch=179, step=22980, lr=0.104500, batch loss=0.010269, epoch loss=0.016803
Batch=239, step=23040, lr=0.104250, batch loss=0.009765, epoch loss=0.026569
Batch=299, step=23100, lr=0.104000, batch loss=0.010401, epoch loss=0.036970
Batch=359, step=23160, lr=0.103750, batch loss=0.011701, epoch loss=0.048671
Batch=419, step=23220, lr=0.103500, batch loss=0.010308, epoch loss=0.058979
Batch=479, step=23280, lr=0.103250, batch loss=0.002297, epoch loss=0.061276
Batch=539, step=23340, lr=0.103000, batch loss=0.016384, epoch loss=0.077660
Batch=599, step=23400, lr=0.102750, batch loss=0.013338, epoch loss=0.090998
Batch=659, step=23460, lr=0.102500, batch loss=0.011621, epoch loss=0.102619
Batch=719, step=23520, lr=0.102250, batch loss=0.011151, epoch loss=0.113770
Batch=779, step=23580, lr=0.102000, batch loss=0.022431, epoch loss=0.136202
Batch=839, step=23640, lr=0.101750, batch loss=0.025357, epoch loss=0.161559
Batch=899, step=23700, lr=0.101500, batch loss=0.022944, epoch loss=0.184503
Batch=959, step=23760, lr=0.101000, batch loss=0.008037, epoch loss=0.192540
Batch=1019, step=23820, lr=0.101000, batch loss=0.007734, epoch loss=0.200274
Batch=1079, step=23880, lr=0.100750, batch loss=0.000685, epoch loss=0.200959
Batch=1139, step=23940, lr=0.100500, batch loss=0.009161, epoch loss=0.210120
Batch=1199, step=24000, lr=0.100250, batch loss=0.004372, epoch loss=0.214492
Epoch=19, step=24000, lr=0.100250, epoch loss=0.214492


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 12:46.15 ---> saved as "bd1761c3f216e58ec2b4311f93219e1a87b9da3fe52bd06ae01ebf12595d5486"
Job succeeded
2025-03-21 12:46.16: Job succeeded