(lower-bound)

2025-03-21 15:22.29: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f6ea3750d181d26e3fd23df51a415f362cff8525) (linux-x86_64:(lower-bound))
Base: ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard f6ea3750
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71
# debian-12-5.2_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


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


2025-03-21 15:22.29: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-b52341ba23877e94ae09b5dde4872bfa"
2025-03-21 15:22.29: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71)
(comment debian-12-5.2_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-03-21 15:22.29: Waiting for resource in pool OCluster
2025-03-21 15:22.29: Waiting for worker…
2025-03-21 15:25.26: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN)


(from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71)
2025-03-21 15:26.07 ---> saved as "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8"


/: (comment debian-12-5.2_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-21 15:26.07 ---> saved as "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f"


/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.
[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


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com"
[default] synchronised from file:///home/opam/opam-repository
2025-03-21 15:27.56 ---> saved as "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5"


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.2.1
2.3.0
2025-03-21 15:27.57 ---> saved as "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 15:27.57 ---> saved as "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
a8ed476033..acfb0e6e94  master     -> origin/master
4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0


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


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-03-21 15:29.32 ---> saved as "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 15:29.32 ---> saved as "f2f5ebcb90fe4d7778d0156232e743d8dbe87e1e3ca2a12d09b4c5932b870185"


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-03-21 15:29.37 ---> saved as "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 15:29.37 ---> saved as "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201"


/src: (env DEPS "angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0")


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apt-get" "update"
- Hit:1 http://deb.debian.org/debian bookworm InRelease
- Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB]
- Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB]
- Get:4 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [249 kB]
- Fetched 353 kB in 1s (593 kB/s)
- Reading package lists...
- 


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


[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1).
[NOTE] Package ocaml is already installed (current version is 5.2.1).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).


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


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


+ /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config"
- debconf: delaying package configuration, since apt-utils is not installed
- Selecting previously unselected package libffi-dev:amd64.
- (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
(Reading database ... 30%
(Reading database ... 35%
(Reading database ... 40%
(Reading database ... 45%
(Reading database ... 50%
(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 18776 files and directories currently installed.)
- Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ...
- Unpacking libffi-dev:amd64 (3.4.4-1) ...
- Selecting previously unselected package libpkgconf3:amd64.
- Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ...
- Unpacking libpkgconf3:amd64 (1.8.1-1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ...
- Unpacking pkgconf-bin (1.8.1-1) ...
- Selecting previously unselected package pkgconf:amd64.
- Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ...
- Unpacking pkgconf:amd64 (1.8.1-1) ...
- Selecting previously unselected package pkg-config:amd64.
- Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ...
- Unpacking pkg-config:amd64 (1.8.1-1) ...
- Setting up libffi-dev:amd64 (3.4.4-1) ...
- Setting up libpkgconf3:amd64 (1.8.1-1) ...
- Setting up pkgconf-bin (1.8.1-1) ...
- Setting up pkgconf:amd64 (1.8.1-1) ...
- Setting up pkg-config:amd64 (1.8.1-1) ...
- Processing triggers for libc-bin (2.36-9+deb12u10) ...
2025-03-21 15:30.13 ---> saved as "5413d90b88bfad68372a87ba6af93a5c804fd152971fa170c50329eac12afcf9"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1).
[NOTE] Package ocaml is already installed (current version is 5.2.1).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 65 packages
- install angstrom                0.15.0
- install backoff                 0.1.0
- install base                    v0.17.0
- install bigarray-compat         1.1.0
- install bigstringaf             0.5.0
- install conf-libffi             2.0.0
- install conf-pkg-config         1.0
- install cppo                    1.6.7
- install ctypes                  0.23.0
- install ctypes-foreign          0.23.0
- install dune                    3.14.0
- install dune-configurator       2.7.0
- install fieldslib               v0.17.0
- install integers                0.6.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install mtime                   2.0.0
- install multicore-magic         2.3.0
- install num                     1.0
- install ocaml-compiler-libs     v0.17.0
- install ocaml-syntax-shims      1.0.0
- install ocaml_intrinsics_kernel v0.17.0
- install ocamlbuild              0.14.3
- install ocamlfind               1.9.6
- install parsexp                 v0.17.0
- install ppx_assert              v0.17.0
- install ppx_base                v0.17.0
- install ppx_cold                v0.17.0
- install ppx_compare             v0.17.0
- install ppx_derivers            1.2.1
- install ppx_deriving            5.2
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.0
- install ppx_fields_conv         v0.17.0
- install ppx_globalize           v0.17.0
- install ppx_hash                v0.17.0
- install ppx_here                v0.17.0
- install ppx_inline_test         v0.17.0
- install ppx_minidebug           2.1.0
- install ppx_optcomp             v0.17.0
- install ppx_sexp_conv           v0.17.0
- install ppx_string              v0.17.0
- install ppx_variants_conv       v0.17.0
- install ppxlib                  0.32.1
- install ppxlib_jane             v0.17.0
- install printbox                0.12
- install printbox-ext-plot       0.12
- install printbox-html           0.12
- install printbox-md             0.12
- install printbox-text           0.12
- install ptime                   0.8.6
- install re                      1.9.0
- install result                  1.5
- install saturn_lockfree         0.5.0
- install seq                     0.3
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.1.0
- install time_now                v0.17.0
- install topkg                   1.0.6
- install tyxml                   4.4.0
- install uucp                    13.0.0
- install uutf                    1.0.3
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.0  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved angstrom.0.15.0  (cached)
-> retrieved base.v0.17.0  (cached)
-> retrieved bigstringaf.0.5.0  (cached)
-> retrieved cppo.1.6.7  (cached)
-> installed conf-pkg-config.1.0
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> retrieved dune-configurator.2.7.0  (cached)
-> retrieved dune.3.14.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.6.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.0.0  (cached)
-> retrieved multicore-magic.2.3.0  (cached)
-> retrieved num.1.0  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.0  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ocamlbuild.0.14.3  (cached)
-> retrieved ocamlfind.1.9.6  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.5.2  (cached)
-> retrieved ppx_expect.v0.17.0  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.0  (cached)
-> retrieved ptime.0.8.6  (cached)
-> retrieved re.1.9.0  (cached)
-> retrieved ppxlib.0.32.1  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.0.3  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.1.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.6  (cached)
-> retrieved tyxml.4.4.0  (cached)
-> retrieved uutf.1.0.3  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.13.0.0  (cached)
-> installed ocamlfind.1.9.6
-> installed num.1.0
-> installed ocamlbuild.0.14.3
-> installed topkg.1.0.6
-> installed uutf.1.0.3
-> installed mtime.2.0.0
-> installed ptime.0.8.6
-> installed dune.3.14.0
-> installed backoff.0.1.0
-> installed bigarray-compat.1.1.0
-> installed bigstringaf.0.5.0
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed seq.0.3
-> installed printbox.0.12
-> installed result.1.5
-> installed stdlib-shims.0.1.0
-> installed ocaml_intrinsics_kernel.v0.17.0
-> installed multicore-magic.2.3.0
-> installed sexplib0.v0.17.0
-> installed cppo.1.6.7
-> installed integers.0.6.0
-> installed ocaml-syntax-shims.1.0.0
-> installed dune-configurator.2.7.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed saturn_lockfree.0.5.0
-> installed re.1.9.0
-> installed angstrom.0.15.0
-> installed parsexp.v0.17.0
-> installed sexplib.v0.17.0
-> installed tyxml.4.4.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed uucp.13.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.32.1
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_deriving.5.2
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_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.v0.17.0
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-21 15:32.40 ---> saved as "a706c3e8811936c940cce32ac493171bae38f86f52811ed8e079c228989c062b"


/src: (copy (src .) (dst /src))
2025-03-21 15:32.40 ---> saved as "8bf262c2b4e447f6139393d95b30e610c6c668d8d90549df6fcc424d9c48787d"


/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/59e252b5ef71f358741287db3b06d3e8/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/7d32d7a43e44274597b27a0aa7c3d239/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/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/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/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/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/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/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/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/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/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/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/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/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/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/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/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/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/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/59e252b5ef71f358741287db3b06d3e8/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=0.199000, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.445660, epoch loss=37.070699
Batch=359, step=360, lr=0.198750, batch loss=1.330503, epoch loss=38.401201
Batch=419, step=420, lr=0.198500, batch loss=0.617977, epoch loss=39.019178
Batch=479, step=480, lr=0.198250, batch loss=0.823210, epoch loss=39.842389
Batch=539, step=540, lr=0.198000, batch loss=0.688590, epoch loss=40.530979
Batch=599, step=600, lr=0.197500, batch loss=1.065628, epoch loss=41.596607
Batch=659, step=660, lr=0.197500, batch loss=0.482905, epoch loss=42.079512
Batch=719, step=720, lr=0.197250, batch loss=0.411244, epoch loss=42.490757
Batch=779, step=780, lr=0.197000, batch loss=0.468808, epoch loss=42.959564
Batch=839, step=840, lr=0.196750, batch loss=0.443103, epoch loss=43.402667
Batch=899, step=900, lr=0.196500, batch loss=0.383681, epoch loss=43.786348
Batch=959, step=960, lr=0.196250, batch loss=0.237303, epoch loss=44.023651
Batch=1019, step=1020, lr=0.196000, batch loss=0.440082, epoch loss=44.463734
Batch=1079, step=1080, lr=0.195750, batch loss=0.229569, epoch loss=44.693303
Batch=1139, step=1140, lr=0.195500, batch loss=0.314944, epoch loss=45.008247
Batch=1199, step=1200, lr=0.195250, batch loss=0.263233, epoch loss=45.271480
Epoch=0, step=1200, lr=0.195250, epoch loss=45.271480
Batch=59, step=1260, lr=0.195000, batch loss=0.262390, epoch loss=0.262390
Batch=119, step=1320, lr=0.194750, batch loss=0.210945, epoch loss=0.473335
Batch=179, step=1380, lr=0.194500, batch loss=0.244722, epoch loss=0.718057
Batch=239, step=1440, lr=0.194250, batch loss=0.352789, epoch loss=1.070845
Batch=299, step=1500, lr=0.194000, batch loss=0.238591, epoch loss=1.309437
Batch=359, step=1560, lr=0.193750, batch loss=0.312106, epoch loss=1.621543
Batch=419, step=1620, lr=0.193500, batch loss=0.308920, epoch loss=1.930463
Batch=479, step=1680, lr=0.193250, batch loss=0.272939, epoch loss=2.203402
Batch=539, step=1740, lr=0.193000, batch loss=0.212366, epoch loss=2.415768
Batch=599, step=1800, lr=0.192750, batch loss=0.263254, epoch loss=2.679022
Batch=659, step=1860, lr=0.192500, batch loss=0.376215, epoch loss=3.055237
Batch=719, step=1920, lr=0.192250, batch loss=0.358229, epoch loss=3.413466
Batch=779, step=1980, lr=0.192000, batch loss=0.388069, epoch loss=3.801535
Batch=839, step=2040, lr=0.191750, batch loss=0.346475, epoch loss=4.148010
Batch=899, step=2100, lr=0.191500, batch loss=0.323889, epoch loss=4.471899
Batch=959, step=2160, lr=0.191250, batch loss=0.257637, epoch loss=4.729536
Batch=1019, step=2220, lr=0.191000, batch loss=0.392223, epoch loss=5.121759
Batch=1079, step=2280, lr=0.190750, batch loss=0.246378, epoch loss=5.368137
Batch=1139, step=2340, lr=0.190500, batch loss=0.306170, epoch loss=5.674307
Batch=1199, step=2400, lr=0.190250, batch loss=0.216237, epoch loss=5.890543
Epoch=1, step=2400, lr=0.190250, epoch loss=5.890543
Batch=59, step=2460, lr=0.190000, batch loss=0.233321, epoch loss=0.233321
Batch=119, step=2520, lr=0.189750, batch loss=0.195403, epoch loss=0.428724
Batch=179, step=2580, lr=0.189500, batch loss=0.223741, epoch loss=0.652465
Batch=239, step=2640, lr=0.189250, batch loss=0.332116, epoch loss=0.984581
Batch=299, step=2700, lr=0.189000, batch loss=0.222046, epoch loss=1.206627
Batch=359, step=2760, lr=0.188500, batch loss=0.300830, epoch loss=1.507457
Batch=419, step=2820, lr=0.188500, batch loss=0.285918, epoch loss=1.793375
Batch=479, step=2880, lr=0.188250, batch loss=0.260628, epoch loss=2.054003
Batch=539, step=2940, lr=0.188000, batch loss=0.198183, epoch loss=2.252186
Batch=599, step=3000, lr=0.187750, batch loss=0.236481, epoch loss=2.488667
Batch=659, step=3060, lr=0.187500, batch loss=0.343869, epoch loss=2.832537
Batch=719, step=3120, lr=0.187250, batch loss=0.345758, epoch loss=3.178294
Batch=779, step=3180, lr=0.187000, batch loss=0.367169, epoch loss=3.545463
Batch=839, step=3240, lr=0.186750, batch loss=0.324404, epoch loss=3.869867
Batch=899, step=3300, lr=0.186500, batch loss=0.283022, epoch loss=4.152889
Batch=959, step=3360, lr=0.186250, batch loss=0.220380, epoch loss=4.373269
Batch=1019, step=3420, lr=0.186000, batch loss=0.339720, epoch loss=4.712990
Batch=1079, step=3480, lr=0.185750, batch loss=0.184272, epoch loss=4.897262
Batch=1139, step=3540, lr=0.185500, batch loss=0.228833, epoch loss=5.126095
Batch=1199, step=3600, lr=0.185250, batch loss=0.202742, epoch loss=5.328837
Epoch=2, step=3600, lr=0.185250, epoch loss=5.328837
Batch=59, step=3660, lr=0.185000, batch loss=0.233011, epoch loss=0.233011
Batch=119, step=3720, lr=0.184750, batch loss=0.195303, epoch loss=0.428314
Batch=179, step=3780, lr=0.184500, batch loss=0.212440, epoch loss=0.640754
Batch=239, step=3840, lr=0.184250, batch loss=0.316254, epoch loss=0.957008
Batch=299, step=3900, lr=0.184000, batch loss=0.206926, epoch loss=1.163934
Batch=359, step=3960, lr=0.183750, batch loss=0.286947, epoch loss=1.450881
Batch=419, step=4020, lr=0.183500, batch loss=0.275449, epoch loss=1.726330
Batch=479, step=4080, lr=0.183250, batch loss=0.258561, epoch loss=1.984891
Batch=539, step=4140, lr=0.183000, batch loss=0.195880, epoch loss=2.180771
Batch=599, step=4200, lr=0.182750, batch loss=0.237603, epoch loss=2.418374
Batch=659, step=4260, lr=0.182500, batch loss=0.330836, epoch loss=2.749210
Batch=719, step=4320, lr=0.182250, batch loss=0.334480, epoch loss=3.083691
Batch=779, step=4380, lr=0.182000, batch loss=0.356723, epoch loss=3.440413
Batch=839, step=4440, lr=0.181750, batch loss=0.313487, epoch loss=3.753901
Batch=899, step=4500, lr=0.181500, batch loss=0.279217, epoch loss=4.033117
Batch=959, step=4560, lr=0.181250, batch loss=0.208602, epoch loss=4.241719
Batch=1019, step=4620, lr=0.181000, batch loss=0.314701, epoch loss=4.556420
Batch=1079, step=4680, lr=0.180750, batch loss=0.203037, epoch loss=4.759457
Batch=1139, step=4740, lr=0.180500, batch loss=0.244625, epoch loss=5.004082
Batch=1199, step=4800, lr=0.180250, batch loss=0.191841, epoch loss=5.195923
Epoch=3, step=4800, lr=0.180250, epoch loss=5.195923
Batch=59, step=4860, lr=0.180000, batch loss=0.226201, epoch loss=0.226201
Batch=119, step=4920, lr=0.179750, batch loss=0.190109, epoch loss=0.416310
Batch=179, step=4980, lr=0.179500, batch loss=0.206757, epoch loss=0.623067
Batch=239, step=5040, lr=0.179250, batch loss=0.307469, epoch loss=0.930535
Batch=299, step=5100, lr=0.179000, batch loss=0.202261, epoch loss=1.132797
Batch=359, step=5160, lr=0.178750, batch loss=0.273732, epoch loss=1.406529
Batch=419, step=5220, lr=0.178500, batch loss=0.265236, epoch loss=1.671765
Batch=479, step=5280, lr=0.178250, batch loss=0.239936, epoch loss=1.911700
Batch=539, step=5340, lr=0.178000, batch loss=0.190886, epoch loss=2.102586
Batch=599, step=5400, lr=0.177750, batch loss=0.229969, epoch loss=2.332556
Batch=659, step=5460, lr=0.177500, batch loss=0.325445, epoch loss=2.658001
Batch=719, step=5520, lr=0.177250, batch loss=0.334166, epoch loss=2.992167
Batch=779, step=5580, lr=0.177000, batch loss=0.342706, epoch loss=3.334873
Batch=839, step=5640, lr=0.176750, batch loss=0.309886, epoch loss=3.644759
Batch=899, step=5700, lr=0.176500, batch loss=0.272758, epoch loss=3.917517
Batch=959, step=5760, lr=0.176250, batch loss=0.215213, epoch loss=4.132731
Batch=1019, step=5820, lr=0.176000, batch loss=0.335058, epoch loss=4.467789
Batch=1079, step=5880, lr=0.175750, batch loss=0.190072, epoch loss=4.657861
Batch=1139, step=5940, lr=0.175500, batch loss=0.221029, epoch loss=4.878889
Batch=1199, step=6000, lr=0.175250, batch loss=0.187035, epoch loss=5.065924
Epoch=4, step=6000, lr=0.175250, epoch loss=5.065924
Batch=59, step=6060, lr=0.175000, batch loss=0.223683, epoch loss=0.223683
Batch=119, step=6120, lr=0.174750, batch loss=0.186021, epoch loss=0.409705
Batch=179, step=6180, lr=0.174500, batch loss=0.201065, epoch loss=0.610770
Batch=239, step=6240, lr=0.174250, batch loss=0.302769, epoch loss=0.913538
Batch=299, step=6300, lr=0.174000, batch loss=0.210335, epoch loss=1.123873
Batch=359, step=6360, lr=0.173750, batch loss=0.274692, epoch loss=1.398565
Batch=419, step=6420, lr=0.173500, batch loss=0.267483, epoch loss=1.666048
Batch=479, step=6480, lr=0.173250, batch loss=0.241237, epoch loss=1.907285
Batch=539, step=6540, lr=0.173000, batch loss=0.196333, epoch loss=2.103618
Batch=599, step=6600, lr=0.172750, batch loss=0.232566, epoch loss=2.336184
Batch=659, step=6660, lr=0.172500, batch loss=0.313797, epoch loss=2.649980
Batch=719, step=6720, lr=0.172250, batch loss=0.318357, epoch loss=2.968337
Batch=779, step=6780, lr=0.172000, batch loss=0.329449, epoch loss=3.297786
Batch=839, step=6840, lr=0.171750, batch loss=0.301999, epoch loss=3.599785
Batch=899, step=6900, lr=0.171500, batch loss=0.270524, epoch loss=3.870310
Batch=959, step=6960, lr=0.171250, batch loss=0.207842, epoch loss=4.078152
Batch=1019, step=7020, lr=0.171000, batch loss=0.325586, epoch loss=4.403738
Batch=1079, step=7080, lr=0.170750, batch loss=0.174402, epoch loss=4.578139
Batch=1139, step=7140, lr=0.170500, batch loss=0.212867, epoch loss=4.791007
Batch=1199, step=7200, lr=0.170250, batch loss=0.191518, epoch loss=4.982525
Epoch=5, step=7200, lr=0.170250, epoch loss=4.982525
Batch=59, step=7260, lr=0.170000, batch loss=0.223354, epoch loss=0.223354
Batch=119, step=7320, lr=0.169750, batch loss=0.190946, epoch loss=0.414301
Batch=179, step=7380, lr=0.169500, batch loss=0.194989, epoch loss=0.609289
Batch=239, step=7440, lr=0.169250, batch loss=0.290461, epoch loss=0.899750
Batch=299, step=7500, lr=0.169000, batch loss=0.209198, epoch loss=1.108948
Batch=359, step=7560, lr=0.168750, batch loss=0.260372, epoch loss=1.369321
Batch=419, step=7620, lr=0.168500, batch loss=0.255615, epoch loss=1.624936
Batch=479, step=7680, lr=0.168250, batch loss=0.238009, epoch loss=1.862945
Batch=539, step=7740, lr=0.168000, batch loss=0.187082, epoch loss=2.050027
Batch=599, step=7800, lr=0.167750, batch loss=0.226818, epoch loss=2.276845
Batch=659, step=7860, lr=0.167500, batch loss=0.305131, epoch loss=2.581975
Batch=719, step=7920, lr=0.167250, batch loss=0.307682, epoch loss=2.889657
Batch=779, step=7980, lr=0.167000, batch loss=0.321056, epoch loss=3.210713
Batch=839, step=8040, lr=0.166750, batch loss=0.296716, epoch loss=3.507428
Batch=899, step=8100, lr=0.166500, batch loss=0.259197, epoch loss=3.766625
Batch=959, step=8160, lr=0.166250, batch loss=0.208057, epoch loss=3.974682
Batch=1019, step=8220, lr=0.166000, batch loss=0.315842, epoch loss=4.290524
Batch=1079, step=8280, lr=0.165750, batch loss=0.170943, epoch loss=4.461467
Batch=1139, step=8340, lr=0.165500, batch loss=0.207035, epoch loss=4.668502
Batch=1199, step=8400, lr=0.165250, batch loss=0.179437, epoch loss=4.847939
Epoch=6, step=8400, lr=0.165250, epoch loss=4.847939
Batch=59, step=8460, lr=0.165000, batch loss=0.228163, epoch loss=0.228163
Batch=119, step=8520, lr=0.164750, batch loss=0.175470, epoch loss=0.403633
Batch=179, step=8580, lr=0.164500, batch loss=0.187263, epoch loss=0.590896
Batch=239, step=8640, lr=0.164250, batch loss=0.277019, epoch loss=0.867916
Batch=299, step=8700, lr=0.164000, batch loss=0.202763, epoch loss=1.070678
Batch=359, step=8760, lr=0.163750, batch loss=0.250809, epoch loss=1.321487
Batch=419, step=8820, lr=0.163500, batch loss=0.242851, epoch loss=1.564338
Batch=479, step=8880, lr=0.163250, batch loss=0.228982, epoch loss=1.793320
Batch=539, step=8940, lr=0.163000, batch loss=0.177561, epoch loss=1.970881
Batch=599, step=9000, lr=0.162750, batch loss=0.218726, epoch loss=2.189607
Batch=659, step=9060, lr=0.162500, batch loss=0.293144, epoch loss=2.482751
Batch=719, step=9120, lr=0.162250, batch loss=0.296655, epoch loss=2.779406
Batch=779, step=9180, lr=0.162000, batch loss=0.315047, epoch loss=3.094453
Batch=839, step=9240, lr=0.161750, batch loss=0.282006, epoch loss=3.376460
Batch=899, step=9300, lr=0.161500, batch loss=0.253239, epoch loss=3.629698
Batch=959, step=9360, lr=0.161250, batch loss=0.188014, epoch loss=3.817712
Batch=1019, step=9420, lr=0.161000, batch loss=0.315582, epoch loss=4.133294
Batch=1079, step=9480, lr=0.160750, batch loss=0.188834, epoch loss=4.322128
Batch=1139, step=9540, lr=0.160500, batch loss=0.211670, epoch loss=4.533798
Batch=1199, step=9600, lr=0.160250, batch loss=0.167502, epoch loss=4.701300
Epoch=7, step=9600, lr=0.160250, epoch loss=4.701300
Batch=59, step=9660, lr=0.160000, batch loss=0.200599, epoch loss=0.200599
Batch=119, step=9720, lr=0.159750, batch loss=0.164858, epoch loss=0.365457
Batch=179, step=9780, lr=0.159500, batch loss=0.179171, epoch loss=0.544628
Batch=239, step=9840, lr=0.159250, batch loss=0.264350, epoch loss=0.808978
Batch=299, step=9900, lr=0.159000, batch loss=0.181328, epoch loss=0.990306
Batch=359, step=9960, lr=0.158750, batch loss=0.242328, epoch loss=1.232635
Batch=419, step=10020, lr=0.158500, batch loss=0.233618, epoch loss=1.466253
Batch=479, step=10080, lr=0.158250, batch loss=0.213116, epoch loss=1.679370
Batch=539, step=10140, lr=0.158000, batch loss=0.172017, epoch loss=1.851386
Batch=599, step=10200, lr=0.157750, batch loss=0.201235, epoch loss=2.052621
Batch=659, step=10260, lr=0.157500, batch loss=0.281072, epoch loss=2.333693
Batch=719, step=10320, lr=0.157250, batch loss=0.280524, epoch loss=2.614217
Batch=779, step=10380, lr=0.157000, batch loss=0.297926, epoch loss=2.912143
Batch=839, step=10440, lr=0.156750, batch loss=0.273199, epoch loss=3.185342
Batch=899, step=10500, lr=0.156500, batch loss=0.238003, epoch loss=3.423345
Batch=959, step=10560, lr=0.156250, batch loss=0.201931, epoch loss=3.625276
Batch=1019, step=10620, lr=0.156000, batch loss=0.278723, epoch loss=3.903999
Batch=1079, step=10680, lr=0.155750, batch loss=0.151886, epoch loss=4.055885
Batch=1139, step=10740, lr=0.155500, batch loss=0.183409, epoch loss=4.239294
Batch=1199, step=10800, lr=0.155250, batch loss=0.154656, epoch loss=4.393951
Epoch=8, step=10800, lr=0.155250, epoch loss=4.393951
Batch=59, step=10860, lr=0.155000, batch loss=0.185303, epoch loss=0.185303
Batch=119, step=10920, lr=0.154750, batch loss=0.154255, epoch loss=0.339558
Batch=179, step=10980, lr=0.154500, batch loss=0.166453, epoch loss=0.506011
Batch=239, step=11040, lr=0.154250, batch loss=0.242884, epoch loss=0.748894
Batch=299, step=11100, lr=0.154000, batch loss=0.170066, epoch loss=0.918961
Batch=359, step=11160, lr=0.153750, batch loss=0.224323, epoch loss=1.143284
Batch=419, step=11220, lr=0.153500, batch loss=0.227551, epoch loss=1.370835
Batch=479, step=11280, lr=0.153250, batch loss=0.204954, epoch loss=1.575789
Batch=539, step=11340, lr=0.153000, batch loss=0.158912, epoch loss=1.734701
Batch=599, step=11400, lr=0.152750, batch loss=0.187019, epoch loss=1.921720
Batch=659, step=11460, lr=0.152500, batch loss=0.262512, epoch loss=2.184233
Batch=719, step=11520, lr=0.152250, batch loss=0.258949, epoch loss=2.443181
Batch=779, step=11580, lr=0.152000, batch loss=0.271035, epoch loss=2.714217
Batch=839, step=11640, lr=0.151750, batch loss=0.250406, epoch loss=2.964623
Batch=899, step=11700, lr=0.151500, batch loss=0.218599, epoch loss=3.183221
Batch=959, step=11760, lr=0.151250, batch loss=0.176758, epoch loss=3.359980
Batch=1019, step=11820, lr=0.151000, batch loss=0.258007, epoch loss=3.617987
Batch=1079, step=11880, lr=0.150750, batch loss=0.142170, epoch loss=3.760157
Batch=1139, step=11940, lr=0.150500, batch loss=0.174527, epoch loss=3.934684
Batch=1199, step=12000, lr=0.150250, batch loss=0.139439, epoch loss=4.074123
Epoch=9, step=12000, lr=0.150250, epoch loss=4.074123
Batch=59, step=12060, lr=0.150000, batch loss=0.163639, epoch loss=0.163639
Batch=119, step=12120, lr=0.149750, batch loss=0.142922, epoch loss=0.306561
Batch=179, step=12180, lr=0.149500, batch loss=0.150772, epoch loss=0.457333
Batch=239, step=12240, lr=0.149250, batch loss=0.218130, epoch loss=0.675464
Batch=299, step=12300, lr=0.149000, batch loss=0.145965, epoch loss=0.821429
Batch=359, step=12360, lr=0.148750, batch loss=0.197036, epoch loss=1.018465
Batch=419, step=12420, lr=0.148500, batch loss=0.209086, epoch loss=1.227551
Batch=479, step=12480, lr=0.148250, batch loss=0.178671, epoch loss=1.406223
Batch=539, step=12540, lr=0.148000, batch loss=0.144633, epoch loss=1.550856
Batch=599, step=12600, lr=0.147750, batch loss=0.149218, epoch loss=1.700074
Batch=659, step=12660, lr=0.147500, batch loss=0.228662, epoch loss=1.928736
Batch=719, step=12720, lr=0.147250, batch loss=0.236931, epoch loss=2.165667
Batch=779, step=12780, lr=0.147000, batch loss=0.266503, epoch loss=2.432170
Batch=839, step=12840, lr=0.146750, batch loss=0.234556, epoch loss=2.666726
Batch=899, step=12900, lr=0.146500, batch loss=0.209950, epoch loss=2.876676
Batch=959, step=12960, lr=0.146250, batch loss=0.157812, epoch loss=3.034488
Batch=1019, step=13020, lr=0.146000, batch loss=0.262482, epoch loss=3.296970
Batch=1079, step=13080, lr=0.145750, batch loss=0.115523, epoch loss=3.412492
Batch=1139, step=13140, lr=0.145500, batch loss=0.151516, epoch loss=3.564008
Batch=1199, step=13200, lr=0.145250, batch loss=0.118798, epoch loss=3.682806
Epoch=10, step=13200, lr=0.145250, epoch loss=3.682806
Batch=59, step=13260, lr=0.145000, batch loss=0.139762, epoch loss=0.139762
Batch=119, step=13320, lr=0.144750, batch loss=0.116991, epoch loss=0.256753
Batch=179, step=13380, lr=0.144500, batch loss=0.128895, epoch loss=0.385648
Batch=239, step=13440, lr=0.144250, batch loss=0.185476, epoch loss=0.571124
Batch=299, step=13500, lr=0.144000, batch loss=0.121861, epoch loss=0.692985
Batch=359, step=13560, lr=0.143750, batch loss=0.162958, epoch loss=0.855943
Batch=419, step=13620, lr=0.143500, batch loss=0.163503, epoch loss=1.019446
Batch=479, step=13680, lr=0.143250, batch loss=0.147618, epoch loss=1.167064
Batch=539, step=13740, lr=0.143000, batch loss=0.119964, epoch loss=1.287029
Batch=599, step=13800, lr=0.142750, batch loss=0.121361, epoch loss=1.408389
Batch=659, step=13860, lr=0.142500, batch loss=0.177767, epoch loss=1.586156
Batch=719, step=13920, lr=0.142250, batch loss=0.178834, epoch loss=1.764990
Batch=779, step=13980, lr=0.142000, batch loss=0.198735, epoch loss=1.963726
Batch=839, step=14040, lr=0.141750, batch loss=0.188586, epoch loss=2.152311
Batch=899, step=14100, lr=0.141500, batch loss=0.159114, epoch loss=2.311426
Batch=959, step=14160, lr=0.141250, batch loss=0.135572, epoch loss=2.446998
Batch=1019, step=14220, lr=0.141000, batch loss=0.299122, epoch loss=2.746120
Batch=1079, step=14280, lr=0.140750, batch loss=0.085745, epoch loss=2.831864
Batch=1139, step=14340, lr=0.140500, batch loss=0.135151, epoch loss=2.967016
Batch=1199, step=14400, lr=0.140250, batch loss=0.093075, epoch loss=3.060091
Epoch=11, step=14400, lr=0.140250, epoch loss=3.060091
Batch=59, step=14460, lr=0.140000, batch loss=0.111366, epoch loss=0.111366
Batch=119, step=14520, lr=0.139750, batch loss=0.103448, epoch loss=0.214814
Batch=179, step=14580, lr=0.139500, batch loss=0.106172, epoch loss=0.320986
Batch=239, step=14640, lr=0.139250, batch loss=0.140765, epoch loss=0.461751
Batch=299, step=14700, lr=0.139000, batch loss=0.084123, epoch loss=0.545875
Batch=359, step=14760, lr=0.138750, batch loss=0.121265, epoch loss=0.667140
Batch=419, step=14820, lr=0.138500, batch loss=0.129113, epoch loss=0.796253
Batch=479, step=14880, lr=0.138250, batch loss=0.105170, epoch loss=0.901423
Batch=539, step=14940, lr=0.138000, batch loss=0.103779, epoch loss=1.005202
Batch=599, step=15000, lr=0.137750, batch loss=0.086718, epoch loss=1.091921
Batch=659, step=15060, lr=0.137500, batch loss=0.130712, epoch loss=1.222633
Batch=719, step=15120, lr=0.137250, batch loss=0.121428, epoch loss=1.344061
Batch=779, step=15180, lr=0.137000, batch loss=0.120865, epoch loss=1.464927
Batch=839, step=15240, lr=0.136750, batch loss=0.120757, epoch loss=1.585684
Batch=899, step=15300, lr=0.136500, batch loss=0.101027, epoch loss=1.686711
Batch=959, step=15360, lr=0.136250, batch loss=0.069871, epoch loss=1.756582
Batch=1019, step=15420, lr=0.136000, batch loss=0.085952, epoch loss=1.842534
Batch=1079, step=15480, lr=0.135750, batch loss=0.061442, epoch loss=1.903977
Batch=1139, step=15540, lr=0.135500, batch loss=0.140232, epoch loss=2.044209
Batch=1199, step=15600, lr=0.135250, batch loss=0.055482, epoch loss=2.099691
Epoch=12, step=15600, lr=0.135250, epoch loss=2.099691
Batch=59, step=15660, lr=0.135000, batch loss=0.085344, epoch loss=0.085344
Batch=119, step=15720, lr=0.134750, batch loss=0.140060, epoch loss=0.225404
Batch=179, step=15780, lr=0.134500, batch loss=0.102550, epoch loss=0.327955
Batch=239, step=15840, lr=0.134250, batch loss=0.101729, epoch loss=0.429684
Batch=299, step=15900, lr=0.134000, batch loss=0.045639, epoch loss=0.475323
Batch=359, step=15960, lr=0.133750, batch loss=0.081961, epoch loss=0.557284
Batch=419, step=16020, lr=0.133500, batch loss=0.082177, epoch loss=0.639461
Batch=479, step=16080, lr=0.133250, batch loss=0.069858, epoch loss=0.709318
Batch=539, step=16140, lr=0.133000, batch loss=0.057225, epoch loss=0.766544
Batch=599, step=16200, lr=0.132750, batch loss=0.109909, epoch loss=0.876453
Batch=659, step=16260, lr=0.132500, batch loss=0.080163, epoch loss=0.956616
Batch=719, step=16320, lr=0.132250, batch loss=0.155619, epoch loss=1.112235
Batch=779, step=16380, lr=0.132000, batch loss=0.478917, epoch loss=1.591152
Batch=839, step=16440, lr=0.131750, batch loss=0.117660, epoch loss=1.708812
Batch=899, step=16500, lr=0.131500, batch loss=0.089845, epoch loss=1.798656
Batch=959, step=16560, lr=0.131250, batch loss=0.042601, epoch loss=1.841257
Batch=1019, step=16620, lr=0.131000, batch loss=0.088809, epoch loss=1.930066
Batch=1079, step=16680, lr=0.130750, batch loss=0.032300, epoch loss=1.962366
Batch=1139, step=16740, lr=0.130500, batch loss=0.070053, epoch loss=2.032419
Batch=1199, step=16800, lr=0.130250, batch loss=0.038426, epoch loss=2.070845
Epoch=13, step=16800, lr=0.130250, epoch loss=2.070845
Batch=59, step=16860, lr=0.130000, batch loss=0.041327, epoch loss=0.041327
Batch=119, step=16920, lr=0.129750, batch loss=0.041819, epoch loss=0.083146
Batch=179, step=16980, lr=0.129500, batch loss=0.048035, epoch loss=0.131181
Batch=239, step=17040, lr=0.129250, batch loss=0.064966, epoch loss=0.196147
Batch=299, step=17100, lr=0.129000, batch loss=0.019960, epoch loss=0.216107
Batch=359, step=17160, lr=0.128750, batch loss=0.048760, epoch loss=0.264867
Batch=419, step=17220, lr=0.128500, batch loss=0.049487, epoch loss=0.314354
Batch=479, step=17280, lr=0.128250, batch loss=0.040621, epoch loss=0.354976
Batch=539, step=17340, lr=0.128000, batch loss=0.044710, epoch loss=0.399685
Batch=599, step=17400, lr=0.127750, batch loss=0.090204, epoch loss=0.489890
Batch=659, step=17460, lr=0.127500, batch loss=0.055109, epoch loss=0.544999
Batch=719, step=17520, lr=0.127250, batch loss=0.073093, epoch loss=0.618092
Batch=779, step=17580, lr=0.127000, batch loss=0.112407, epoch loss=0.730499
Batch=839, step=17640, lr=0.126750, batch loss=0.073177, epoch loss=0.803676
Batch=899, step=17700, lr=0.126500, batch loss=0.094203, epoch loss=0.897879
Batch=959, step=17760, lr=0.126250, batch loss=0.038175, epoch loss=0.936054
Batch=1019, step=17820, lr=0.126000, batch loss=0.069460, epoch loss=1.005514
Batch=1079, step=17880, lr=0.125750, batch loss=0.020015, epoch loss=1.025529
Batch=1139, step=17940, lr=0.125500, batch loss=0.042831, epoch loss=1.068360
Batch=1199, step=18000, lr=0.125250, batch loss=0.018756, epoch loss=1.087116
Epoch=14, step=18000, lr=0.125250, epoch loss=1.087116
Batch=59, step=18060, lr=0.125000, batch loss=0.015737, epoch loss=0.015737
Batch=119, step=18120, lr=0.124750, batch loss=0.021289, epoch loss=0.037026
Batch=179, step=18180, lr=0.124500, batch loss=0.030069, epoch loss=0.067095
Batch=239, step=18240, lr=0.124250, batch loss=0.035345, epoch loss=0.102440
Batch=299, step=18300, lr=0.124000, batch loss=0.012139, epoch loss=0.114579
Batch=359, step=18360, lr=0.123750, batch loss=0.027779, epoch loss=0.142358
Batch=419, step=18420, lr=0.123500, batch loss=0.030476, epoch loss=0.172833
Batch=479, step=18480, lr=0.123250, batch loss=0.014245, epoch loss=0.187078
Batch=539, step=18540, lr=0.123000, batch loss=0.021479, epoch loss=0.208557
Batch=599, step=18600, lr=0.122750, batch loss=0.027976, epoch loss=0.236533
Batch=659, step=18660, lr=0.122250, batch loss=0.027676, epoch loss=0.264209
Batch=719, step=18720, lr=0.122000, batch loss=0.057872, epoch loss=0.322081
Batch=779, step=18780, lr=0.121750, batch loss=0.098947, epoch loss=0.421028
Batch=839, step=18840, lr=0.121500, batch loss=0.056907, epoch loss=0.477935
Batch=899, step=18900, lr=0.121250, batch loss=0.056920, epoch loss=0.534855
Batch=959, step=18960, lr=0.121000, batch loss=0.014206, epoch loss=0.549061
Batch=1019, step=19020, lr=0.120750, batch loss=0.022915, epoch loss=0.571977
Batch=1079, step=19080, lr=0.120500, batch loss=0.013060, epoch loss=0.585037
Batch=1139, step=19140, lr=0.120250, batch loss=0.030001, epoch loss=0.615038
Batch=1199, step=19200, lr=0.120000, batch loss=0.012777, epoch loss=0.627815
Epoch=15, step=19200, lr=0.120000, epoch loss=0.627815
Batch=59, step=19260, lr=0.119750, batch loss=0.012210, epoch loss=0.012210
Batch=119, step=19320, lr=0.119500, batch loss=0.024198, epoch loss=0.036408
Batch=179, step=19380, lr=0.119500, batch loss=0.053013, epoch loss=0.089421
Batch=239, step=19440, lr=0.119000, batch loss=0.024839, epoch loss=0.114260
Batch=299, step=19500, lr=0.118750, batch loss=0.012350, epoch loss=0.126611
Batch=359, step=19560, lr=0.118750, batch loss=0.023210, epoch loss=0.149821
Batch=419, step=19620, lr=0.118500, batch loss=0.020526, epoch loss=0.170347
Batch=479, step=19680, lr=0.118000, batch loss=0.008754, epoch loss=0.179101
Batch=539, step=19740, lr=0.117750, batch loss=0.017495, epoch loss=0.196596
Batch=599, step=19800, lr=0.117500, batch loss=0.024688, epoch loss=0.221284
Batch=659, step=19860, lr=0.117250, batch loss=0.021338, epoch loss=0.242622
Batch=719, step=19920, lr=0.117000, batch loss=0.054485, epoch loss=0.297106
Batch=779, step=19980, lr=0.116750, batch loss=0.086128, epoch loss=0.383234
Batch=839, step=20040, lr=0.116750, batch loss=0.031203, epoch loss=0.414437
Batch=899, step=20100, lr=0.116250, batch loss=0.029957, epoch loss=0.444394
Batch=959, step=20160, lr=0.116000, batch loss=0.018379, epoch loss=0.462772
Batch=1019, step=20220, lr=0.116000, batch loss=0.023592, epoch loss=0.486364
Batch=1079, step=20280, lr=0.115750, batch loss=0.002537, epoch loss=0.488901
Batch=1139, step=20340, lr=0.115500, batch loss=0.015294, epoch loss=0.504195
Batch=1199, step=20400, lr=0.115250, batch loss=0.005927, epoch loss=0.510122
Epoch=16, step=20400, lr=0.115250, epoch loss=0.510122
Batch=59, step=20460, lr=0.115000, batch loss=0.002817, epoch loss=0.002817
Batch=119, step=20520, lr=0.114750, batch loss=0.012266, epoch loss=0.015083
Batch=179, step=20580, lr=0.114500, batch loss=0.025334, epoch loss=0.040417
Batch=239, step=20640, lr=0.114250, batch loss=0.014214, epoch loss=0.054631
Batch=299, step=20700, lr=0.114000, batch loss=0.004441, epoch loss=0.059073
Batch=359, step=20760, lr=0.113750, batch loss=0.015688, epoch loss=0.074760
Batch=419, step=20820, lr=0.113500, batch loss=0.015001, epoch loss=0.089761
Batch=479, step=20880, lr=0.113250, batch loss=0.003944, epoch loss=0.093705
Batch=539, step=20940, lr=0.113000, batch loss=0.021311, epoch loss=0.115015
Batch=599, step=21000, lr=0.112750, batch loss=0.025627, epoch loss=0.140642
Batch=659, step=21060, lr=0.112500, batch loss=0.013828, epoch loss=0.154470
Batch=719, step=21120, lr=0.112250, batch loss=0.025999, epoch loss=0.180469
Batch=779, step=21180, lr=0.112000, batch loss=0.046951, epoch loss=0.227420
Batch=839, step=21240, lr=0.111750, batch loss=0.027786, epoch loss=0.255206
Batch=899, step=21300, lr=0.111500, batch loss=0.029952, epoch loss=0.285158
Batch=959, step=21360, lr=0.111250, batch loss=0.012522, epoch loss=0.297679
Batch=1019, step=21420, lr=0.111000, batch loss=0.011461, epoch loss=0.309141
Batch=1079, step=21480, lr=0.110750, batch loss=0.001557, epoch loss=0.310698
Batch=1139, step=21540, lr=0.110500, batch loss=0.012669, epoch loss=0.323367
Batch=1199, step=21600, lr=0.110250, batch loss=0.004860, epoch loss=0.328226
Epoch=17, step=21600, lr=0.110250, epoch loss=0.328226
Batch=59, step=21660, lr=0.110000, batch loss=0.002024, epoch loss=0.002024
Batch=119, step=21720, lr=0.109750, batch loss=0.007490, epoch loss=0.009514
Batch=179, step=21780, lr=0.109500, batch loss=0.012500, epoch loss=0.022014
Batch=239, step=21840, lr=0.109250, batch loss=0.012997, epoch loss=0.035011
Batch=299, step=21900, lr=0.109000, batch loss=0.003032, epoch loss=0.038043
Batch=359, step=21960, lr=0.108750, batch loss=0.011824, epoch loss=0.049867
Batch=419, step=22020, lr=0.108500, batch loss=0.011657, epoch loss=0.061524
Batch=479, step=22080, lr=0.108250, batch loss=0.002944, epoch loss=0.064468
Batch=539, step=22140, lr=0.108000, batch loss=0.016739, epoch loss=0.081207
Batch=599, step=22200, lr=0.107750, batch loss=0.015925, epoch loss=0.097131
Batch=659, step=22260, lr=0.107500, batch loss=0.013758, epoch loss=0.110890
Batch=719, step=22320, lr=0.107250, batch loss=0.031326, epoch loss=0.142216
Batch=779, step=22380, lr=0.107000, batch loss=0.039296, epoch loss=0.181512
Batch=839, step=22440, lr=0.106750, batch loss=0.021051, epoch loss=0.202563
Batch=899, step=22500, lr=0.106500, batch loss=0.022167, epoch loss=0.224729
Batch=959, step=22560, lr=0.106250, batch loss=0.011174, epoch loss=0.235904
Batch=1019, step=22620, lr=0.106000, batch loss=0.009240, epoch loss=0.245144
Batch=1079, step=22680, lr=0.105750, batch loss=0.000068, epoch loss=0.245212
Batch=1139, step=22740, lr=0.105250, batch loss=0.009806, epoch loss=0.255018
Batch=1199, step=22800, lr=0.105250, batch loss=0.004449, epoch loss=0.259467
Epoch=18, step=22800, lr=0.105250, epoch loss=0.259467
Batch=59, step=22860, lr=0.105000, batch loss=0.001419, epoch loss=0.001419
Batch=119, step=22920, lr=0.104750, batch loss=0.005341, epoch loss=0.006759
Batch=179, step=22980, lr=0.104500, batch loss=0.010771, epoch loss=0.017530
Batch=239, step=23040, lr=0.104250, batch loss=0.009381, epoch loss=0.026911
Batch=299, step=23100, lr=0.104000, batch loss=0.006608, epoch loss=0.033519
Batch=359, step=23160, lr=0.103750, batch loss=0.012149, epoch loss=0.045668
Batch=419, step=23220, lr=0.103500, batch loss=0.010881, epoch loss=0.056549
Batch=479, step=23280, lr=0.103250, batch loss=0.002654, epoch loss=0.059202
Batch=539, step=23340, lr=0.103000, batch loss=0.016388, epoch loss=0.075591
Batch=599, step=23400, lr=0.102750, batch loss=0.013416, epoch loss=0.089007
Batch=659, step=23460, lr=0.102500, batch loss=0.009764, epoch loss=0.098771
Batch=719, step=23520, lr=0.102250, batch loss=0.014625, epoch loss=0.113396
Batch=779, step=23580, lr=0.102000, batch loss=0.022434, epoch loss=0.135830
Batch=839, step=23640, lr=0.101750, batch loss=0.025028, epoch loss=0.160858
Batch=899, step=23700, lr=0.101500, batch loss=0.023374, epoch loss=0.184232
Batch=959, step=23760, lr=0.101250, batch loss=0.008619, epoch loss=0.192851
Batch=1019, step=23820, lr=0.101000, batch loss=0.008125, epoch loss=0.200976
Batch=1079, step=23880, lr=0.100750, batch loss=0.000568, epoch loss=0.201544
Batch=1139, step=23940, lr=0.100500, batch loss=0.009369, epoch loss=0.210913
Batch=1199, step=24000, lr=0.100250, batch loss=0.004767, epoch loss=0.215680
Epoch=19, step=24000, lr=0.100250, epoch loss=0.215680


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 15:33.15 ---> saved as "21d6cfc5f8277b5bd093a751aae01261457141b95124e77f7c8f29a13a9c3306"
Job succeeded
2025-03-21 15:33.16: Job succeeded