debian-12-5.2_opam-2.3

2025-03-22 15:30.21: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (2032408f0ade78c11cab2eb31243ad3db51953f9) (linux-x86_64:debian-12-5.2_opam-2.3)
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 2032408f
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.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.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.5.2.1 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.v0.17.1 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.v0.17.0 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


2025-03-22 15:30.21: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-4e36d8eccab8591c75feb438f41429c5"
2025-03-22 15:30.21: 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.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.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.5.2.1 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.v0.17.1 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.v0.17.0 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"))
)


2025-03-22 15:30.21: Waiting for resource in pool OCluster
2025-03-22 15:30.21: Waiting for worker…
2025-03-22 15:30.22: Got resource from pool OCluster
Building on phoebe.caelum.ci.dev
All commits already cached
HEAD is now at 2032408f More %cd flexibility: derive projections for `!.` and `!..`


(from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71)
2025-03-22 15:30.23 ---> using "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8" from cache


/: (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"))
2025-03-22 15:30.23 ---> using "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f" from cache


/src: (run (shell "opam init --reinit -ni"))
Configuring from /home/opam/.opamrc and then from built-in defaults.
Checking for available remotes: rsync and local, git.
- you won't be able to use mercurial repositories unless you install the hg command on your system.
- you won't be able to use darcs repositories unless you install the darcs command on your system.


This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted.
You may want to back it up before going further.


Continue? [y/n] y
[NOTE] The 'jobs' option was reset, its value was 39 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using:
opam option jobs=39 --global
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com"
[default] synchronised from file:///home/opam/opam-repository
2025-03-22 15:30.23 ---> using "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5" from cache


/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
2025-03-22 15:30.23 ---> using "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-22 15:30.23 ---> using "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b" 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
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)
2025-03-22 15:30.23 ---> using "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-22 15:30.23 ---> using "f2f5ebcb90fe4d7778d0156232e743d8dbe87e1e3ca2a12d09b4c5932b870185" from cache


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-03-22 15:30.23 ---> using "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-22 15:30.23 ---> using "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201" from cache


/src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.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.5.2.1 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.v0.17.1 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.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apt-get" "update"
- 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 [250 kB]
- Fetched 353 kB in 1s (670 kB/s)
- Reading package lists...
- 


<><> 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-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) ...
2025-03-22 15:30.23 ---> using "fb1ddceb16c82d5bfdaf0e6f837342ce85d1b90544d9b35f7da89dad06c10c86" from cache


/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                0.16.1
- 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             v0.17.0
- 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                   1.2.0
- install re                      1.12.0
- install saturn_lockfree         0.5.0
- install seq                     base
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.3.0
- install time_now                v0.17.0
- install topkg                   1.0.8
- install tyxml                   4.6.0
- install uucp                    16.0.0
- install uutf                    1.0.4
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_hash.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 dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved ppxlib_jane.v0.17.0  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved re.1.12.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (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 csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> installed cppo.1.8.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed re.1.12.0
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.17.2
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.1
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed ppxlib.0.35.0
-> installed printbox-ext-plot.0.12
-> installed ppxlib_jane.v0.17.0
-> installed ppx_optcomp.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_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_minidebug.2.1.0
-> installed ppx_base.v0.17.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-22 15:30.23 ---> using "8720c3d776a3e01524dbb3b3167035791e3aec306337f0c96114766155f1dcdc" from cache


/src: (copy (src .) (dst /src))
2025-03-22 15:30.24 ---> saved as "f6ce67e2b48e36610234edb8e9ca7fe7d9abf397ac58ebb88ae68004200a3e0e"


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/7008a3df734483bc4c4ec9bb45863da0/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248
Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112
Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523
Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236
Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723
Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539
Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053
Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157
Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168
Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420
Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854
Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365
Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593
Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121
Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243
Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563
Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333
Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239
Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610
Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501
Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094
Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074
Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079
Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298
Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203
Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269
Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001
Batch=419, step=5220, lr=0.178250, batch loss=0.264055, epoch loss=1.673056
Batch=479, step=5280, lr=0.178250, batch loss=0.239688, epoch loss=1.912744
Batch=539, step=5340, lr=0.178000, batch loss=0.189458, epoch loss=2.102202
Batch=599, step=5400, lr=0.177750, batch loss=0.231006, epoch loss=2.333208
Batch=659, step=5460, lr=0.177500, batch loss=0.323604, epoch loss=2.656812
Batch=719, step=5520, lr=0.177250, batch loss=0.325852, epoch loss=2.982665
Batch=779, step=5580, lr=0.177000, batch loss=0.343190, epoch loss=3.325855
Batch=839, step=5640, lr=0.176750, batch loss=0.309336, epoch loss=3.635191
Batch=899, step=5700, lr=0.176500, batch loss=0.273183, epoch loss=3.908373
Batch=959, step=5760, lr=0.176250, batch loss=0.214897, epoch loss=4.123270
Batch=1019, step=5820, lr=0.176000, batch loss=0.339179, epoch loss=4.462449
Batch=1079, step=5880, lr=0.175750, batch loss=0.207798, epoch loss=4.670247
Batch=1139, step=5940, lr=0.175500, batch loss=0.240068, epoch loss=4.910316
Batch=1199, step=6000, lr=0.175250, batch loss=0.186869, epoch loss=5.097184
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097184
Batch=59, step=6060, lr=0.175000, batch loss=0.230511, epoch loss=0.230511
Batch=119, step=6120, lr=0.174750, batch loss=0.194306, epoch loss=0.424817
Batch=179, step=6180, lr=0.174500, batch loss=0.201542, epoch loss=0.626359
Batch=239, step=6240, lr=0.174250, batch loss=0.302372, epoch loss=0.928730
Batch=299, step=6300, lr=0.174000, batch loss=0.203946, epoch loss=1.132676
Batch=359, step=6360, lr=0.173750, batch loss=0.266101, epoch loss=1.398778
Batch=419, step=6420, lr=0.173500, batch loss=0.265294, epoch loss=1.664072
Batch=479, step=6480, lr=0.173250, batch loss=0.243309, epoch loss=1.907381
Batch=539, step=6540, lr=0.173000, batch loss=0.192986, epoch loss=2.100367
Batch=599, step=6600, lr=0.172750, batch loss=0.234486, epoch loss=2.334854
Batch=659, step=6660, lr=0.172500, batch loss=0.312115, epoch loss=2.646968
Batch=719, step=6720, lr=0.172250, batch loss=0.314210, epoch loss=2.961178
Batch=779, step=6780, lr=0.172000, batch loss=0.333235, epoch loss=3.294412
Batch=839, step=6840, lr=0.171750, batch loss=0.303748, epoch loss=3.598160
Batch=899, step=6900, lr=0.171500, batch loss=0.268481, epoch loss=3.866641
Batch=959, step=6960, lr=0.171250, batch loss=0.211014, epoch loss=4.077654
Batch=1019, step=7020, lr=0.171000, batch loss=0.329777, epoch loss=4.407431
Batch=1079, step=7080, lr=0.170750, batch loss=0.180627, epoch loss=4.588059
Batch=1139, step=7140, lr=0.170500, batch loss=0.216089, epoch loss=4.804148
Batch=1199, step=7200, lr=0.170250, batch loss=0.185674, epoch loss=4.989822
Epoch=5, step=7200, lr=0.170250, epoch loss=4.989822
Batch=59, step=7260, lr=0.170000, batch loss=0.232486, epoch loss=0.232486
Batch=119, step=7320, lr=0.169750, batch loss=0.184590, epoch loss=0.417076
Batch=179, step=7380, lr=0.169500, batch loss=0.196605, epoch loss=0.613681
Batch=239, step=7440, lr=0.169250, batch loss=0.291671, epoch loss=0.905352
Batch=299, step=7500, lr=0.169000, batch loss=0.200902, epoch loss=1.106254
Batch=359, step=7560, lr=0.168750, batch loss=0.258539, epoch loss=1.364793
Batch=419, step=7620, lr=0.168500, batch loss=0.257383, epoch loss=1.622176
Batch=479, step=7680, lr=0.168250, batch loss=0.235327, epoch loss=1.857503
Batch=539, step=7740, lr=0.168000, batch loss=0.188570, epoch loss=2.046072
Batch=599, step=7800, lr=0.167750, batch loss=0.223179, epoch loss=2.269251
Batch=659, step=7860, lr=0.167500, batch loss=0.306332, epoch loss=2.575584
Batch=719, step=7920, lr=0.167250, batch loss=0.308677, epoch loss=2.884261
Batch=779, step=7980, lr=0.167000, batch loss=0.330584, epoch loss=3.214846
Batch=839, step=8040, lr=0.166750, batch loss=0.292042, epoch loss=3.506887
Batch=899, step=8100, lr=0.166500, batch loss=0.262255, epoch loss=3.769142
Batch=959, step=8160, lr=0.166250, batch loss=0.192460, epoch loss=3.961602
Batch=1019, step=8220, lr=0.166000, batch loss=0.291110, epoch loss=4.252712
Batch=1079, step=8280, lr=0.165750, batch loss=0.184299, epoch loss=4.437010
Batch=1139, step=8340, lr=0.165500, batch loss=0.216276, epoch loss=4.653287
Batch=1199, step=8400, lr=0.165250, batch loss=0.172763, epoch loss=4.826050
Epoch=6, step=8400, lr=0.165250, epoch loss=4.826050
Batch=59, step=8460, lr=0.165000, batch loss=0.212052, epoch loss=0.212052
Batch=119, step=8520, lr=0.164750, batch loss=0.177937, epoch loss=0.389989
Batch=179, step=8580, lr=0.164500, batch loss=0.188658, epoch loss=0.578647
Batch=239, step=8640, lr=0.164250, batch loss=0.278159, epoch loss=0.856806
Batch=299, step=8700, lr=0.164000, batch loss=0.193655, epoch loss=1.050461
Batch=359, step=8760, lr=0.163750, batch loss=0.247318, epoch loss=1.297779
Batch=419, step=8820, lr=0.163500, batch loss=0.245255, epoch loss=1.543034
Batch=479, step=8880, lr=0.163250, batch loss=0.229231, epoch loss=1.772264
Batch=539, step=8940, lr=0.163000, batch loss=0.177552, epoch loss=1.949816
Batch=599, step=9000, lr=0.162750, batch loss=0.217526, epoch loss=2.167342
Batch=659, step=9060, lr=0.162500, batch loss=0.295053, epoch loss=2.462395
Batch=719, step=9120, lr=0.162250, batch loss=0.299527, epoch loss=2.761922
Batch=779, step=9180, lr=0.162000, batch loss=0.316426, epoch loss=3.078347
Batch=839, step=9240, lr=0.161750, batch loss=0.281976, epoch loss=3.360323
Batch=899, step=9300, lr=0.161500, batch loss=0.250654, epoch loss=3.610977
Batch=959, step=9360, lr=0.161250, batch loss=0.198054, epoch loss=3.809031
Batch=1019, step=9420, lr=0.161000, batch loss=0.307428, epoch loss=4.116459
Batch=1079, step=9480, lr=0.160750, batch loss=0.196912, epoch loss=4.313371
Batch=1139, step=9540, lr=0.160500, batch loss=0.213430, epoch loss=4.526801
Batch=1199, step=9600, lr=0.160250, batch loss=0.167166, epoch loss=4.693967
Epoch=7, step=9600, lr=0.160250, epoch loss=4.693967
Batch=59, step=9660, lr=0.160000, batch loss=0.200848, epoch loss=0.200848
Batch=119, step=9720, lr=0.159750, batch loss=0.164940, epoch loss=0.365788
Batch=179, step=9780, lr=0.159500, batch loss=0.178441, epoch loss=0.544228
Batch=239, step=9840, lr=0.159250, batch loss=0.262437, epoch loss=0.806665
Batch=299, step=9900, lr=0.159000, batch loss=0.181556, epoch loss=0.988221
Batch=359, step=9960, lr=0.158750, batch loss=0.241101, epoch loss=1.229322
Batch=419, step=10020, lr=0.158500, batch loss=0.233409, epoch loss=1.462731
Batch=479, step=10080, lr=0.158250, batch loss=0.213295, epoch loss=1.676026
Batch=539, step=10140, lr=0.158000, batch loss=0.172298, epoch loss=1.848323
Batch=599, step=10200, lr=0.157750, batch loss=0.200787, epoch loss=2.049110
Batch=659, step=10260, lr=0.157500, batch loss=0.281475, epoch loss=2.330585
Batch=719, step=10320, lr=0.157250, batch loss=0.286013, epoch loss=2.616599
Batch=779, step=10380, lr=0.157000, batch loss=0.294869, epoch loss=2.911468
Batch=839, step=10440, lr=0.156750, batch loss=0.265956, epoch loss=3.177424
Batch=899, step=10500, lr=0.156500, batch loss=0.244330, epoch loss=3.421754
Batch=959, step=10560, lr=0.156250, batch loss=0.197372, epoch loss=3.619126
Batch=1019, step=10620, lr=0.155750, batch loss=0.279948, epoch loss=3.899073
Batch=1079, step=10680, lr=0.155750, batch loss=0.167156, epoch loss=4.066230
Batch=1139, step=10740, lr=0.155500, batch loss=0.200077, epoch loss=4.266306
Batch=1199, step=10800, lr=0.155250, batch loss=0.154081, epoch loss=4.420387
Epoch=8, step=10800, lr=0.155250, epoch loss=4.420387
Batch=59, step=10860, lr=0.155000, batch loss=0.179754, epoch loss=0.179754
Batch=119, step=10920, lr=0.154750, batch loss=0.150852, epoch loss=0.330607
Batch=179, step=10980, lr=0.154500, batch loss=0.166379, epoch loss=0.496986
Batch=239, step=11040, lr=0.154250, batch loss=0.240510, epoch loss=0.737495
Batch=299, step=11100, lr=0.154000, batch loss=0.172647, epoch loss=0.910143
Batch=359, step=11160, lr=0.153750, batch loss=0.220321, epoch loss=1.130463
Batch=419, step=11220, lr=0.153500, batch loss=0.228846, epoch loss=1.359309
Batch=479, step=11280, lr=0.153250, batch loss=0.203684, epoch loss=1.562993
Batch=539, step=11340, lr=0.153000, batch loss=0.159275, epoch loss=1.722268
Batch=599, step=11400, lr=0.152750, batch loss=0.184382, epoch loss=1.906651
Batch=659, step=11460, lr=0.152500, batch loss=0.264743, epoch loss=2.171393
Batch=719, step=11520, lr=0.152250, batch loss=0.255558, epoch loss=2.426951
Batch=779, step=11580, lr=0.152000, batch loss=0.271448, epoch loss=2.698399
Batch=839, step=11640, lr=0.151750, batch loss=0.256272, epoch loss=2.954672
Batch=899, step=11700, lr=0.151500, batch loss=0.217168, epoch loss=3.171839
Batch=959, step=11760, lr=0.151250, batch loss=0.185684, epoch loss=3.357523
Batch=1019, step=11820, lr=0.151000, batch loss=0.277411, epoch loss=3.634935
Batch=1079, step=11880, lr=0.150750, batch loss=0.148084, epoch loss=3.783019
Batch=1139, step=11940, lr=0.150500, batch loss=0.180954, epoch loss=3.963973
Batch=1199, step=12000, lr=0.150250, batch loss=0.139684, epoch loss=4.103657
Epoch=9, step=12000, lr=0.150250, epoch loss=4.103657
Batch=59, step=12060, lr=0.150000, batch loss=0.160878, epoch loss=0.160878
Batch=119, step=12120, lr=0.149750, batch loss=0.137114, epoch loss=0.297993
Batch=179, step=12180, lr=0.149500, batch loss=0.150748, epoch loss=0.448741
Batch=239, step=12240, lr=0.149250, batch loss=0.218681, epoch loss=0.667422
Batch=299, step=12300, lr=0.149000, batch loss=0.142421, epoch loss=0.809843
Batch=359, step=12360, lr=0.148750, batch loss=0.198911, epoch loss=1.008754
Batch=419, step=12420, lr=0.148500, batch loss=0.206155, epoch loss=1.214909
Batch=479, step=12480, lr=0.148250, batch loss=0.178886, epoch loss=1.393795
Batch=539, step=12540, lr=0.148000, batch loss=0.142656, epoch loss=1.536450
Batch=599, step=12600, lr=0.147750, batch loss=0.149254, epoch loss=1.685704
Batch=659, step=12660, lr=0.147500, batch loss=0.226096, epoch loss=1.911800
Batch=719, step=12720, lr=0.147250, batch loss=0.233670, epoch loss=2.145470
Batch=779, step=12780, lr=0.147000, batch loss=0.263340, epoch loss=2.408810
Batch=839, step=12840, lr=0.146750, batch loss=0.233739, epoch loss=2.642549
Batch=899, step=12900, lr=0.146500, batch loss=0.212054, epoch loss=2.854604
Batch=959, step=12960, lr=0.146250, batch loss=0.151686, epoch loss=3.006289
Batch=1019, step=13020, lr=0.146000, batch loss=0.264830, epoch loss=3.271120
Batch=1079, step=13080, lr=0.145750, batch loss=0.112273, epoch loss=3.383392
Batch=1139, step=13140, lr=0.145500, batch loss=0.151418, epoch loss=3.534810
Batch=1199, step=13200, lr=0.145250, batch loss=0.117154, epoch loss=3.651965
Epoch=10, step=13200, lr=0.145250, epoch loss=3.651965
Batch=59, step=13260, lr=0.145000, batch loss=0.145751, epoch loss=0.145751
Batch=119, step=13320, lr=0.144750, batch loss=0.125320, epoch loss=0.271071
Batch=179, step=13380, lr=0.144500, batch loss=0.129842, epoch loss=0.400913
Batch=239, step=13440, lr=0.144250, batch loss=0.189986, epoch loss=0.590899
Batch=299, step=13500, lr=0.144000, batch loss=0.121400, epoch loss=0.712299
Batch=359, step=13560, lr=0.143750, batch loss=0.160841, epoch loss=0.873140
Batch=419, step=13620, lr=0.143500, batch loss=0.161376, epoch loss=1.034517
Batch=479, step=13680, lr=0.143250, batch loss=0.146645, epoch loss=1.181161
Batch=539, step=13740, lr=0.143000, batch loss=0.118619, epoch loss=1.299780
Batch=599, step=13800, lr=0.142750, batch loss=0.119797, epoch loss=1.419577
Batch=659, step=13860, lr=0.142500, batch loss=0.175898, epoch loss=1.595475
Batch=719, step=13920, lr=0.142250, batch loss=0.177897, epoch loss=1.773373
Batch=779, step=13980, lr=0.142000, batch loss=0.196647, epoch loss=1.970019
Batch=839, step=14040, lr=0.141750, batch loss=0.189367, epoch loss=2.159386
Batch=899, step=14100, lr=0.141500, batch loss=0.175191, epoch loss=2.334577
Batch=959, step=14160, lr=0.141250, batch loss=0.136260, epoch loss=2.470837
Batch=1019, step=14220, lr=0.141000, batch loss=0.271607, epoch loss=2.742444
Batch=1079, step=14280, lr=0.140750, batch loss=0.079190, epoch loss=2.821634
Batch=1139, step=14340, lr=0.140500, batch loss=0.120884, epoch loss=2.942518
Batch=1199, step=14400, lr=0.140250, batch loss=0.090046, epoch loss=3.032564
Epoch=11, step=14400, lr=0.140250, epoch loss=3.032564
Batch=59, step=14460, lr=0.140000, batch loss=0.109156, epoch loss=0.109156
Batch=119, step=14520, lr=0.139750, batch loss=0.102491, epoch loss=0.211647
Batch=179, step=14580, lr=0.139500, batch loss=0.102703, epoch loss=0.314350
Batch=239, step=14640, lr=0.139250, batch loss=0.141602, epoch loss=0.455952
Batch=299, step=14700, lr=0.139000, batch loss=0.077470, epoch loss=0.533421
Batch=359, step=14760, lr=0.138750, batch loss=0.119160, epoch loss=0.652582
Batch=419, step=14820, lr=0.138500, batch loss=0.125489, epoch loss=0.778071
Batch=479, step=14880, lr=0.138250, batch loss=0.106068, epoch loss=0.884138
Batch=539, step=14940, lr=0.138000, batch loss=0.115619, epoch loss=0.999757
Batch=599, step=15000, lr=0.137750, batch loss=0.086741, epoch loss=1.086499
Batch=659, step=15060, lr=0.137500, batch loss=0.129990, epoch loss=1.216488
Batch=719, step=15120, lr=0.137250, batch loss=0.120909, epoch loss=1.337398
Batch=779, step=15180, lr=0.137000, batch loss=0.135991, epoch loss=1.473388
Batch=839, step=15240, lr=0.136750, batch loss=0.165941, epoch loss=1.639329
Batch=899, step=15300, lr=0.136500, batch loss=0.276125, epoch loss=1.915454
Batch=959, step=15360, lr=0.136250, batch loss=0.065811, epoch loss=1.981265
Batch=1019, step=15420, lr=0.136000, batch loss=0.142598, epoch loss=2.123863
Batch=1079, step=15480, lr=0.135750, batch loss=0.043063, epoch loss=2.166926
Batch=1139, step=15540, lr=0.135500, batch loss=0.098174, epoch loss=2.265100
Batch=1199, step=15600, lr=0.135250, batch loss=0.060757, epoch loss=2.325857
Epoch=12, step=15600, lr=0.135250, epoch loss=2.325857
Batch=59, step=15660, lr=0.135000, batch loss=0.081642, epoch loss=0.081642
Batch=119, step=15720, lr=0.134750, batch loss=0.116798, epoch loss=0.198440
Batch=179, step=15780, lr=0.134500, batch loss=0.091150, epoch loss=0.289590
Batch=239, step=15840, lr=0.134250, batch loss=0.094524, epoch loss=0.384115
Batch=299, step=15900, lr=0.134000, batch loss=0.039588, epoch loss=0.423702
Batch=359, step=15960, lr=0.133750, batch loss=0.080806, epoch loss=0.504508
Batch=419, step=16020, lr=0.133500, batch loss=0.080774, epoch loss=0.585281
Batch=479, step=16080, lr=0.133250, batch loss=0.064280, epoch loss=0.649561
Batch=539, step=16140, lr=0.133000, batch loss=0.060100, epoch loss=0.709661
Batch=599, step=16200, lr=0.132750, batch loss=0.135942, epoch loss=0.845603
Batch=659, step=16260, lr=0.132500, batch loss=0.088186, epoch loss=0.933789
Batch=719, step=16320, lr=0.132250, batch loss=0.133408, epoch loss=1.067197
Batch=779, step=16380, lr=0.132000, batch loss=0.307728, epoch loss=1.374925
Batch=839, step=16440, lr=0.131750, batch loss=0.093990, epoch loss=1.468915
Batch=899, step=16500, lr=0.131500, batch loss=0.077580, epoch loss=1.546495
Batch=959, step=16560, lr=0.131250, batch loss=0.034808, epoch loss=1.581303
Batch=1019, step=16620, lr=0.131000, batch loss=0.068134, epoch loss=1.649437
Batch=1079, step=16680, lr=0.130750, batch loss=0.047251, epoch loss=1.696688
Batch=1139, step=16740, lr=0.130500, batch loss=0.076795, epoch loss=1.773482
Batch=1199, step=16800, lr=0.130250, batch loss=0.035592, epoch loss=1.809074
Epoch=13, step=16800, lr=0.130250, epoch loss=1.809074
Batch=59, step=16860, lr=0.130000, batch loss=0.034642, epoch loss=0.034642
Batch=119, step=16920, lr=0.129750, batch loss=0.037121, epoch loss=0.071763
Batch=179, step=16980, lr=0.129500, batch loss=0.043420, epoch loss=0.115183
Batch=239, step=17040, lr=0.129250, batch loss=0.060998, epoch loss=0.176181
Batch=299, step=17100, lr=0.129000, batch loss=0.025565, epoch loss=0.201747
Batch=359, step=17160, lr=0.128750, batch loss=0.054535, epoch loss=0.256281
Batch=419, step=17220, lr=0.128500, batch loss=0.087586, epoch loss=0.343868
Batch=479, step=17280, lr=0.128250, batch loss=0.024985, epoch loss=0.368853
Batch=539, step=17340, lr=0.128000, batch loss=0.026536, epoch loss=0.395389
Batch=599, step=17400, lr=0.127750, batch loss=0.041979, epoch loss=0.437368
Batch=659, step=17460, lr=0.127500, batch loss=0.057524, epoch loss=0.494893
Batch=719, step=17520, lr=0.127250, batch loss=0.069352, epoch loss=0.564245
Batch=779, step=17580, lr=0.127000, batch loss=0.070099, epoch loss=0.634345
Batch=839, step=17640, lr=0.126750, batch loss=0.101838, epoch loss=0.736182
Batch=899, step=17700, lr=0.126500, batch loss=0.048950, epoch loss=0.785133
Batch=959, step=17760, lr=0.126250, batch loss=0.018821, epoch loss=0.803954
Batch=1019, step=17820, lr=0.126000, batch loss=0.054205, epoch loss=0.858158
Batch=1079, step=17880, lr=0.125750, batch loss=0.044599, epoch loss=0.902757
Batch=1139, step=17940, lr=0.125500, batch loss=0.071063, epoch loss=0.973820
Batch=1199, step=18000, lr=0.125250, batch loss=0.024182, epoch loss=0.998002
Epoch=14, step=18000, lr=0.125250, epoch loss=0.998002
Batch=59, step=18060, lr=0.125000, batch loss=0.015244, epoch loss=0.015244
Batch=119, step=18120, lr=0.124750, batch loss=0.018644, epoch loss=0.033888
Batch=179, step=18180, lr=0.124500, batch loss=0.029487, epoch loss=0.063375
Batch=239, step=18240, lr=0.124250, batch loss=0.036181, epoch loss=0.099556
Batch=299, step=18300, lr=0.124000, batch loss=0.012240, epoch loss=0.111796
Batch=359, step=18360, lr=0.123750, batch loss=0.023176, epoch loss=0.134971
Batch=419, step=18420, lr=0.123500, batch loss=0.029255, epoch loss=0.164227
Batch=479, step=18480, lr=0.123250, batch loss=0.020477, epoch loss=0.184703
Batch=539, step=18540, lr=0.123000, batch loss=0.041022, epoch loss=0.225725
Batch=599, step=18600, lr=0.122750, batch loss=0.026804, epoch loss=0.252529
Batch=659, step=18660, lr=0.122500, batch loss=0.031886, epoch loss=0.284415
Batch=719, step=18720, lr=0.122250, batch loss=0.022379, epoch loss=0.306794
Batch=779, step=18780, lr=0.122000, batch loss=0.037279, epoch loss=0.344073
Batch=839, step=18840, lr=0.121750, batch loss=0.069794, epoch loss=0.413868
Batch=899, step=18900, lr=0.121500, batch loss=0.116459, epoch loss=0.530326
Batch=959, step=18960, lr=0.121250, batch loss=0.021655, epoch loss=0.551981
Batch=1019, step=19020, lr=0.121000, batch loss=0.027187, epoch loss=0.579168
Batch=1079, step=19080, lr=0.120750, batch loss=0.004036, epoch loss=0.583204
Batch=1139, step=19140, lr=0.120500, batch loss=0.022548, epoch loss=0.605752
Batch=1199, step=19200, lr=0.120250, batch loss=0.010013, epoch loss=0.615766
Epoch=15, step=19200, lr=0.120250, epoch loss=0.615766
Batch=59, step=19260, lr=0.120000, batch loss=0.004500, epoch loss=0.004500
Batch=119, step=19320, lr=0.119750, batch loss=0.011564, epoch loss=0.016064
Batch=179, step=19380, lr=0.119500, batch loss=0.019994, epoch loss=0.036058
Batch=239, step=19440, lr=0.119250, batch loss=0.020350, epoch loss=0.056408
Batch=299, step=19500, lr=0.119000, batch loss=0.005084, epoch loss=0.061492
Batch=359, step=19560, lr=0.118750, batch loss=0.016248, epoch loss=0.077740
Batch=419, step=19620, lr=0.118500, batch loss=0.019102, epoch loss=0.096843
Batch=479, step=19680, lr=0.118250, batch loss=0.010221, epoch loss=0.107064
Batch=539, step=19740, lr=0.118000, batch loss=0.018183, epoch loss=0.125247
Batch=599, step=19800, lr=0.117750, batch loss=0.019366, epoch loss=0.144613
Batch=659, step=19860, lr=0.117500, batch loss=0.018443, epoch loss=0.163056
Batch=719, step=19920, lr=0.117250, batch loss=0.016545, epoch loss=0.179602
Batch=779, step=19980, lr=0.117000, batch loss=0.024925, epoch loss=0.204527
Batch=839, step=20040, lr=0.116750, batch loss=0.029729, epoch loss=0.234255
Batch=899, step=20100, lr=0.116500, batch loss=0.030321, epoch loss=0.264576
Batch=959, step=20160, lr=0.116250, batch loss=0.011529, epoch loss=0.276106
Batch=1019, step=20220, lr=0.116000, batch loss=0.012885, epoch loss=0.288991
Batch=1079, step=20280, lr=0.115750, batch loss=0.006292, epoch loss=0.295283
Batch=1139, step=20340, lr=0.115500, batch loss=0.017934, epoch loss=0.313217
Batch=1199, step=20400, lr=0.115250, batch loss=0.007127, epoch loss=0.320344
Epoch=16, step=20400, lr=0.115250, epoch loss=0.320344
Batch=59, step=20460, lr=0.115000, batch loss=0.003571, epoch loss=0.003571
Batch=119, step=20520, lr=0.114750, batch loss=0.008842, epoch loss=0.012413
Batch=179, step=20580, lr=0.114500, batch loss=0.019606, epoch loss=0.032019
Batch=239, step=20640, lr=0.114250, batch loss=0.021728, epoch loss=0.053747
Batch=299, step=20700, lr=0.114000, batch loss=0.008902, epoch loss=0.062649
Batch=359, step=20760, lr=0.113750, batch loss=0.013460, epoch loss=0.076109
Batch=419, step=20820, lr=0.113500, batch loss=0.014189, epoch loss=0.090298
Batch=479, step=20880, lr=0.113250, batch loss=0.004420, epoch loss=0.094718
Batch=539, step=20940, lr=0.113000, batch loss=0.015696, epoch loss=0.110414
Batch=599, step=21000, lr=0.112750, batch loss=0.018875, epoch loss=0.129289
Batch=659, step=21060, lr=0.112500, batch loss=0.015486, epoch loss=0.144776
Batch=719, step=21120, lr=0.112250, batch loss=0.045116, epoch loss=0.189892
Batch=779, step=21180, lr=0.112000, batch loss=0.074961, epoch loss=0.264853
Batch=839, step=21240, lr=0.111750, batch loss=0.025035, epoch loss=0.289888
Batch=899, step=21300, lr=0.111500, batch loss=0.029908, epoch loss=0.319796
Batch=959, step=21360, lr=0.111250, batch loss=0.010370, epoch loss=0.330165
Batch=1019, step=21420, lr=0.111000, batch loss=0.012574, epoch loss=0.342739
Batch=1079, step=21480, lr=0.110750, batch loss=0.001807, epoch loss=0.344546
Batch=1139, step=21540, lr=0.110500, batch loss=0.012457, epoch loss=0.357003
Batch=1199, step=21600, lr=0.110250, batch loss=0.005097, epoch loss=0.362100
Epoch=17, step=21600, lr=0.110250, epoch loss=0.362100
Batch=59, step=21660, lr=0.110000, batch loss=0.002349, epoch loss=0.002349
Batch=119, step=21720, lr=0.109750, batch loss=0.006371, epoch loss=0.008720
Batch=179, step=21780, lr=0.109500, batch loss=0.012982, epoch loss=0.021702
Batch=239, step=21840, lr=0.109250, batch loss=0.009805, epoch loss=0.031507
Batch=299, step=21900, lr=0.109000, batch loss=0.008556, epoch loss=0.040063
Batch=359, step=21960, lr=0.108750, batch loss=0.013528, epoch loss=0.053591
Batch=419, step=22020, lr=0.108500, batch loss=0.012929, epoch loss=0.066520
Batch=479, step=22080, lr=0.108250, batch loss=0.002863, epoch loss=0.069384
Batch=539, step=22140, lr=0.108000, batch loss=0.016464, epoch loss=0.085848
Batch=599, step=22200, lr=0.107750, batch loss=0.015433, epoch loss=0.101281
Batch=659, step=22260, lr=0.107500, batch loss=0.011418, epoch loss=0.112699
Batch=719, step=22320, lr=0.107250, batch loss=0.021384, epoch loss=0.134083
Batch=779, step=22380, lr=0.107000, batch loss=0.030843, epoch loss=0.164926
Batch=839, step=22440, lr=0.106750, batch loss=0.029016, epoch loss=0.193942
Batch=899, step=22500, lr=0.106500, batch loss=0.024997, epoch loss=0.218939
Batch=959, step=22560, lr=0.106250, batch loss=0.009170, epoch loss=0.228110
Batch=1019, step=22620, lr=0.106000, batch loss=0.009476, epoch loss=0.237586
Batch=1079, step=22680, lr=0.105750, batch loss=0.001786, epoch loss=0.239372
Batch=1139, step=22740, lr=0.105500, batch loss=0.011202, epoch loss=0.250574
Batch=1199, step=22800, lr=0.105250, batch loss=0.005179, epoch loss=0.255753
Epoch=18, step=22800, lr=0.105250, epoch loss=0.255753
Batch=59, step=22860, lr=0.105000, batch loss=0.002147, epoch loss=0.002147
Batch=119, step=22920, lr=0.104750, batch loss=0.005726, epoch loss=0.007874
Batch=179, step=22980, lr=0.104500, batch loss=0.011301, epoch loss=0.019174
Batch=239, step=23040, lr=0.104250, batch loss=0.008812, epoch loss=0.027987
Batch=299, step=23100, lr=0.104000, batch loss=0.007564, epoch loss=0.035551
Batch=359, step=23160, lr=0.103750, batch loss=0.011682, epoch loss=0.047233
Batch=419, step=23220, lr=0.103500, batch loss=0.010791, epoch loss=0.058024
Batch=479, step=23280, lr=0.103250, batch loss=0.002474, epoch loss=0.060497
Batch=539, step=23340, lr=0.103000, batch loss=0.017868, epoch loss=0.078366
Batch=599, step=23400, lr=0.102750, batch loss=0.013731, epoch loss=0.092097
Batch=659, step=23460, lr=0.102500, batch loss=0.009976, epoch loss=0.102072
Batch=719, step=23520, lr=0.102250, batch loss=0.014660, epoch loss=0.116732
Batch=779, step=23580, lr=0.102000, batch loss=0.023357, epoch loss=0.140090
Batch=839, step=23640, lr=0.101750, batch loss=0.025612, epoch loss=0.165702
Batch=899, step=23700, lr=0.101500, batch loss=0.023771, epoch loss=0.189473
Batch=959, step=23760, lr=0.101250, batch loss=0.008954, epoch loss=0.198427
Batch=1019, step=23820, lr=0.101000, batch loss=0.008275, epoch loss=0.206702
Batch=1079, step=23880, lr=0.100750, batch loss=0.000561, epoch loss=0.207263
Batch=1139, step=23940, lr=0.100500, batch loss=0.009767, epoch loss=0.217029
Batch=1199, step=24000, lr=0.100250, batch loss=0.004886, epoch loss=0.221916
Epoch=19, step=24000, lr=0.100250, epoch loss=0.221916


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
│********************************#*******************************************************************│
│**********************#*#*#######*###*#####*********************************************************│
│**********************#########################*****************************************************│
│*****************#**########*######*###########*###*************************************************│
│***************#################*###################************************************************│
│************######*#################*#################**********************************************│
│**********#*#####*########*#**************##*#########*#********************************************│
│***********########*##*#******************#*****##########*****************************************.│
│***********###########*************************############*************************************....│
│********######*####*********************************###*###*#*********************************......│
│*******######**##**********************************#*######*#******************************.........│
│*******##*##**##***********..........***************########*##***************************..........│
│*****#######************.......%...%%...***************#########************************..........%.│
│******######***********.........%........***************##*#####***********************.......%.%.%.│
│***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│
│****#######***********.........%%%%.........************#########********************........%%.%%.%│
│**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│
│*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│
│*#######************...........%%%%%%%..........************#######**************............%%%%%%.│
│*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│
│*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│
│#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│
│#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│
│###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│
│#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│
│######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│
│*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│
│#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│
│**************.....................%.%%%%%%...................*******..................%.%%.%%......│
│**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│
│*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│
│*************...........................%..%%%%..%................................%%%%%%%%..........│
│************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│
│***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│
│***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│
│**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│
│**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│
│*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│
│*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│
│********................................................%...%%%%.%%.%%%%..%.........................│
└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-22 15:30.52 ---> saved as "357e3747cf2896f3286e5ad398b68f0504387c4c32212af33c61a6899140cea6"
Job succeeded
2025-03-22 15:30.53: Job succeeded