Organisationsahrefsocannl4ee46a ()debian-12-5.2_opam-2.3

debian-12-5.2_opam-2.3

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2025-03-20 22:11.56: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (4ee46a20839684c520fd8d1cc91b4a5416d1e783) (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 4ee46a20
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


2025-03-20 22:11.56: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-4e36d8eccab8591c75feb438f41429c5"
2025-03-20 22:11.56: 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"))
)


2025-03-20 22:11.56: Waiting for resource in pool OCluster
2025-03-20 22:11.56: Waiting for worker…
2025-03-20 22:16.06: Got resource from pool OCluster
Building on phoebe.caelum.ci.dev
All commits already cached
HEAD is now at 4ee46a20 Update GitHub actions


(from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71)
2025-03-20 22:16.07 ---> 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"))
2025-03-20 22:16.07 ---> 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
2025-03-20 22:16.07 ---> 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
2025-03-20 22:16.07 ---> using "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 22:16.07 ---> 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..6cf83229dd  master     -> origin/master
4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0


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


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:16.07 ---> using "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 22:16.07 ---> using "b68856cc9fdb5adde2f44cb80bd2b7d98628491444092dc1e4cb5c2b933834ac" from cache


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-03-20 22:16.07 ---> using "8f98fdff0f4a9126e2dae3bfaee5ea787e82f9284ad1f673addd07cc348ca6ca" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 22:16.07 ---> using "d439651848c11ffde7654c863f03bda63ab79e9ab72a318c9e8cf2c6fca47186" 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 [249 kB]
- Fetched 353 kB in 0s (823 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) ...
2025-03-20 22:16.07 ---> using "26683538ca59c0b8cdaafd23e2d04c07b87e15b3b98bb56fc3637e9ee7a37871" 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 base.v0.17.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ppxlib_jane.v0.17.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved re.1.12.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (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 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_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed sexplib0.v0.17.0
-> installed cppo.1.8.0
-> installed stdlib-shims.0.3.0
-> installed ocaml-syntax-shims.1.0.0
-> installed re.1.12.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed dune-configurator.3.17.2
-> installed parsexp.v0.17.0
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.1
-> installed ctypes-foreign.0.23.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.0
-> 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_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:16.07 ---> using "3e5792a3c33a71366692cd31550bb58637ff47145c556a161daabbb4d2ef136a" from cache


/src: (copy (src .) (dst /src))
2025-03-20 22:16.09 ---> saved as "db197a65674e66a8f6d8cf47f243edb65c0b2dfcd1485f8c9a7322bad9c27eff"


/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/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/3afa83330d192f7ef97e8c318d5f9e96/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/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=0.199500, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199250, batch loss=2.621123, epoch loss=34.770210
Batch=239, step=240, lr=0.199000, batch loss=0.846671, epoch loss=35.616880
Batch=299, step=300, lr=0.198750, batch loss=1.454974, epoch loss=37.071854
Batch=359, step=360, lr=0.198500, batch loss=1.326898, epoch loss=38.398752
Batch=419, step=420, lr=0.198250, batch loss=0.621517, epoch loss=39.020269
Batch=479, step=480, lr=0.198250, batch loss=0.818033, epoch loss=39.838301
Batch=539, step=540, lr=0.198000, batch loss=0.698964, epoch loss=40.537265
Batch=599, step=600, lr=0.197500, batch loss=1.073923, epoch loss=41.611188
Batch=659, step=660, lr=0.197250, batch loss=0.482736, epoch loss=42.093924
Batch=719, step=720, lr=0.197000, batch loss=0.411546, epoch loss=42.505470
Batch=779, step=780, lr=0.196750, batch loss=0.470057, epoch loss=42.975527
Batch=839, step=840, lr=0.196500, batch loss=0.444408, epoch loss=43.419935
Batch=899, step=900, lr=0.196250, batch loss=0.383478, epoch loss=43.803412
Batch=959, step=960, lr=0.196250, batch loss=0.241826, epoch loss=44.045238
Batch=1019, step=1020, lr=0.196000, batch loss=0.457730, epoch loss=44.502968
Batch=1079, step=1080, lr=0.195500, batch loss=0.251775, epoch loss=44.754744
Batch=1139, step=1140, lr=0.195500, batch loss=0.329602, epoch loss=45.084346
Batch=1199, step=1200, lr=0.195250, batch loss=0.264152, epoch loss=45.348498
Epoch=0, step=1200, lr=0.195250, epoch loss=45.348498
Batch=59, step=1260, lr=0.195000, batch loss=0.262797, epoch loss=0.262797
Batch=119, step=1320, lr=0.194750, batch loss=0.204327, epoch loss=0.467123
Batch=179, step=1380, lr=0.194500, batch loss=0.244071, epoch loss=0.711195
Batch=239, step=1440, lr=0.194250, batch loss=0.347044, epoch loss=1.058239
Batch=299, step=1500, lr=0.193750, batch loss=0.238266, epoch loss=1.296505
Batch=359, step=1560, lr=0.193750, batch loss=0.310827, epoch loss=1.607332
Batch=419, step=1620, lr=0.193500, batch loss=0.310081, epoch loss=1.917413
Batch=479, step=1680, lr=0.193000, batch loss=0.274643, epoch loss=2.192056
Batch=539, step=1740, lr=0.192750, batch loss=0.212013, epoch loss=2.404069
Batch=599, step=1800, lr=0.192500, batch loss=0.260009, epoch loss=2.664078
Batch=659, step=1860, lr=0.192250, batch loss=0.377853, epoch loss=3.041932
Batch=719, step=1920, lr=0.192000, batch loss=0.356491, epoch loss=3.398423
Batch=779, step=1980, lr=0.191750, batch loss=0.388669, epoch loss=3.787091
Batch=839, step=2040, lr=0.191500, batch loss=0.345340, epoch loss=4.132431
Batch=899, step=2100, lr=0.191500, batch loss=0.320649, epoch loss=4.453081
Batch=959, step=2160, lr=0.191000, batch loss=0.258492, epoch loss=4.711573
Batch=1019, step=2220, lr=0.190750, batch loss=0.386049, epoch loss=5.097622
Batch=1079, step=2280, lr=0.190500, batch loss=0.208221, epoch loss=5.305843
Batch=1139, step=2340, lr=0.190250, batch loss=0.256684, epoch loss=5.562527
Batch=1199, step=2400, lr=0.190250, batch loss=0.211497, epoch loss=5.774024
Epoch=1, step=2400, lr=0.190250, epoch loss=5.774024
Batch=59, step=2460, lr=0.189750, batch loss=0.233236, epoch loss=0.233236
Batch=119, step=2520, lr=0.189750, batch loss=0.195828, epoch loss=0.429065
Batch=179, step=2580, lr=0.189500, batch loss=0.221286, epoch loss=0.650351
Batch=239, step=2640, lr=0.189250, batch loss=0.328211, epoch loss=0.978562
Batch=299, step=2700, lr=0.188750, batch loss=0.204923, epoch loss=1.183485
Batch=359, step=2760, lr=0.188750, batch loss=0.287714, epoch loss=1.471199
Batch=419, step=2820, lr=0.188250, batch loss=0.280864, epoch loss=1.752063
Batch=479, step=2880, lr=0.188250, batch loss=0.252396, epoch loss=2.004459
Batch=539, step=2940, lr=0.188000, batch loss=0.192164, epoch loss=2.196623
Batch=599, step=3000, lr=0.187750, batch loss=0.226756, epoch loss=2.423379
Batch=659, step=3060, lr=0.187500, batch loss=0.336879, epoch loss=2.760258
Batch=719, step=3120, lr=0.187250, batch loss=0.330936, epoch loss=3.091194
Batch=779, step=3180, lr=0.187000, batch loss=0.352575, epoch loss=3.443769
Batch=839, step=3240, lr=0.186500, batch loss=0.324494, epoch loss=3.768263
Batch=899, step=3300, lr=0.186250, batch loss=0.294187, epoch loss=4.062450
Batch=959, step=3360, lr=0.186000, batch loss=0.234743, epoch loss=4.297193
Batch=1019, step=3420, lr=0.185750, batch loss=0.339509, epoch loss=4.636702
Batch=1079, step=3480, lr=0.185750, batch loss=0.190034, epoch loss=4.826736
Batch=1139, step=3540, lr=0.185250, batch loss=0.227782, epoch loss=5.054518
Batch=1199, step=3600, lr=0.185250, batch loss=0.201767, epoch loss=5.256285
Epoch=2, step=3600, lr=0.185250, epoch loss=5.256285
Batch=59, step=3660, lr=0.184750, batch loss=0.238393, epoch loss=0.238393
Batch=119, step=3720, lr=0.184750, batch loss=0.202161, epoch loss=0.440554
Batch=179, step=3780, lr=0.184250, batch loss=0.210737, epoch loss=0.651291
Batch=239, step=3840, lr=0.184000, batch loss=0.315983, epoch loss=0.967274
Batch=299, step=3900, lr=0.184000, batch loss=0.204625, epoch loss=1.171899
Batch=359, step=3960, lr=0.183750, batch loss=0.281742, epoch loss=1.453640
Batch=419, step=4020, lr=0.183250, batch loss=0.271745, epoch loss=1.725385
Batch=479, step=4080, lr=0.183250, batch loss=0.248468, epoch loss=1.973853
Batch=539, step=4140, lr=0.182750, batch loss=0.195399, epoch loss=2.169252
Batch=599, step=4200, lr=0.182750, batch loss=0.241731, epoch loss=2.410983
Batch=659, step=4260, lr=0.182500, batch loss=0.327707, epoch loss=2.738691
Batch=719, step=4320, lr=0.182000, batch loss=0.328958, epoch loss=3.067649
Batch=779, step=4380, lr=0.182000, batch loss=0.348995, epoch loss=3.416643
Batch=839, step=4440, lr=0.181750, batch loss=0.319718, epoch loss=3.736361
Batch=899, step=4500, lr=0.181500, batch loss=0.289147, epoch loss=4.025509
Batch=959, step=4560, lr=0.181250, batch loss=0.246747, epoch loss=4.272256
Batch=1019, step=4620, lr=0.181000, batch loss=0.369855, epoch loss=4.642111
Batch=1079, step=4680, lr=0.180750, batch loss=0.214114, epoch loss=4.856225
Batch=1139, step=4740, lr=0.180500, batch loss=0.250826, epoch loss=5.107051
Batch=1199, step=4800, lr=0.180250, batch loss=0.191246, epoch loss=5.298298
Epoch=3, step=4800, lr=0.180250, epoch loss=5.298298
Batch=59, step=4860, lr=0.180000, batch loss=0.228801, epoch loss=0.228801
Batch=119, step=4920, lr=0.179750, batch loss=0.188720, epoch loss=0.417521
Batch=179, step=4980, lr=0.179500, batch loss=0.206489, epoch loss=0.624010
Batch=239, step=5040, lr=0.179250, batch loss=0.310086, epoch loss=0.934096
Batch=299, step=5100, lr=0.179000, batch loss=0.204022, epoch loss=1.138118
Batch=359, step=5160, lr=0.178750, batch loss=0.271637, epoch loss=1.409754
Batch=419, step=5220, lr=0.178500, batch loss=0.264357, epoch loss=1.674111
Batch=479, step=5280, lr=0.178250, batch loss=0.239986, epoch loss=1.914097
Batch=539, step=5340, lr=0.178000, batch loss=0.189829, epoch loss=2.103926
Batch=599, step=5400, lr=0.177500, batch loss=0.231575, epoch loss=2.335502
Batch=659, step=5460, lr=0.177500, batch loss=0.323556, epoch loss=2.659058
Batch=719, step=5520, lr=0.177250, batch loss=0.325812, epoch loss=2.984870
Batch=779, step=5580, lr=0.177000, batch loss=0.343411, epoch loss=3.328280
Batch=839, step=5640, lr=0.176500, batch loss=0.308533, epoch loss=3.636813
Batch=899, step=5700, lr=0.176500, batch loss=0.273462, epoch loss=3.910276
Batch=959, step=5760, lr=0.176250, batch loss=0.212779, epoch loss=4.123055
Batch=1019, step=5820, lr=0.175750, batch loss=0.337286, epoch loss=4.460341
Batch=1079, step=5880, lr=0.175750, batch loss=0.204326, epoch loss=4.664666
Batch=1139, step=5940, lr=0.175500, batch loss=0.239907, epoch loss=4.904573
Batch=1199, step=6000, lr=0.175000, batch loss=0.187437, epoch loss=5.092010
Epoch=4, step=6000, lr=0.175000, epoch loss=5.092010
Batch=59, step=6060, lr=0.174750, batch loss=0.229030, epoch loss=0.229030
Batch=119, step=6120, lr=0.174750, batch loss=0.186859, epoch loss=0.415889
Batch=179, step=6180, lr=0.174250, batch loss=0.201257, epoch loss=0.617146
Batch=239, step=6240, lr=0.174250, batch loss=0.301323, epoch loss=0.918469
Batch=299, step=6300, lr=0.174000, batch loss=0.210673, epoch loss=1.129142
Batch=359, step=6360, lr=0.173500, batch loss=0.273428, epoch loss=1.402571
Batch=419, step=6420, lr=0.173250, batch loss=0.265904, epoch loss=1.668475
Batch=479, step=6480, lr=0.173250, batch loss=0.241471, epoch loss=1.909945
Batch=539, step=6540, lr=0.172750, batch loss=0.194042, epoch loss=2.103987
Batch=599, step=6600, lr=0.172750, batch loss=0.232933, epoch loss=2.336920
Batch=659, step=6660, lr=0.172500, batch loss=0.313029, epoch loss=2.649949
Batch=719, step=6720, lr=0.172250, batch loss=0.319946, epoch loss=2.969895
Batch=779, step=6780, lr=0.172000, batch loss=0.337611, epoch loss=3.307506
Batch=839, step=6840, lr=0.171750, batch loss=0.300767, epoch loss=3.608273
Batch=899, step=6900, lr=0.171500, batch loss=0.270106, epoch loss=3.878379
Batch=959, step=6960, lr=0.171250, batch loss=0.204082, epoch loss=4.082461
Batch=1019, step=7020, lr=0.171000, batch loss=0.334583, epoch loss=4.417044
Batch=1079, step=7080, lr=0.170750, batch loss=0.188418, epoch loss=4.605462
Batch=1139, step=7140, lr=0.170500, batch loss=0.220998, epoch loss=4.826460
Batch=1199, step=7200, lr=0.170250, batch loss=0.178310, epoch loss=5.004770
Epoch=5, step=7200, lr=0.170250, epoch loss=5.004770
Batch=59, step=7260, lr=0.170000, batch loss=0.221269, epoch loss=0.221269
Batch=119, step=7320, lr=0.169750, batch loss=0.183872, epoch loss=0.405141
Batch=179, step=7380, lr=0.169500, batch loss=0.196325, epoch loss=0.601466
Batch=239, step=7440, lr=0.169250, batch loss=0.291545, epoch loss=0.893011
Batch=299, step=7500, lr=0.169000, batch loss=0.200464, epoch loss=1.093475
Batch=359, step=7560, lr=0.168750, batch loss=0.257034, epoch loss=1.350509
Batch=419, step=7620, lr=0.168500, batch loss=0.251116, epoch loss=1.601625
Batch=479, step=7680, lr=0.168250, batch loss=0.228287, epoch loss=1.829912
Batch=539, step=7740, lr=0.168000, batch loss=0.181325, epoch loss=2.011237
Batch=599, step=7800, lr=0.167750, batch loss=0.219818, epoch loss=2.231055
Batch=659, step=7860, lr=0.167500, batch loss=0.305808, epoch loss=2.536863
Batch=719, step=7920, lr=0.167250, batch loss=0.308249, epoch loss=2.845112
Batch=779, step=7980, lr=0.167000, batch loss=0.329486, epoch loss=3.174598
Batch=839, step=8040, lr=0.166750, batch loss=0.290425, epoch loss=3.465023
Batch=899, step=8100, lr=0.166500, batch loss=0.252968, epoch loss=3.717991
Batch=959, step=8160, lr=0.166250, batch loss=0.187826, epoch loss=3.905817
Batch=1019, step=8220, lr=0.166000, batch loss=0.288828, epoch loss=4.194644
Batch=1079, step=8280, lr=0.165750, batch loss=0.171089, epoch loss=4.365733
Batch=1139, step=8340, lr=0.165500, batch loss=0.206376, epoch loss=4.572109
Batch=1199, step=8400, lr=0.165250, batch loss=0.178771, epoch loss=4.750880
Epoch=6, step=8400, lr=0.165250, epoch loss=4.750880
Batch=59, step=8460, lr=0.165000, batch loss=0.227730, epoch loss=0.227730
Batch=119, step=8520, lr=0.164750, batch loss=0.175125, epoch loss=0.402855
Batch=179, step=8580, lr=0.164500, batch loss=0.186292, epoch loss=0.589148
Batch=239, step=8640, lr=0.164250, batch loss=0.275480, epoch loss=0.864628
Batch=299, step=8700, lr=0.164000, batch loss=0.192098, epoch loss=1.056726
Batch=359, step=8760, lr=0.163750, batch loss=0.247682, epoch loss=1.304408
Batch=419, step=8820, lr=0.163250, batch loss=0.243786, epoch loss=1.548194
Batch=479, step=8880, lr=0.163250, batch loss=0.228494, epoch loss=1.776688
Batch=539, step=8940, lr=0.163000, batch loss=0.177221, epoch loss=1.953909
Batch=599, step=9000, lr=0.162500, batch loss=0.218324, epoch loss=2.172233
Batch=659, step=9060, lr=0.162500, batch loss=0.292438, epoch loss=2.464671
Batch=719, step=9120, lr=0.162250, batch loss=0.295200, epoch loss=2.759871
Batch=779, step=9180, lr=0.162000, batch loss=0.313347, epoch loss=3.073218
Batch=839, step=9240, lr=0.161750, batch loss=0.280910, epoch loss=3.354128
Batch=899, step=9300, lr=0.161500, batch loss=0.252486, epoch loss=3.606614
Batch=959, step=9360, lr=0.161250, batch loss=0.186790, epoch loss=3.793404
Batch=1019, step=9420, lr=0.161000, batch loss=0.320719, epoch loss=4.114123
Batch=1079, step=9480, lr=0.160750, batch loss=0.195982, epoch loss=4.310105
Batch=1139, step=9540, lr=0.160500, batch loss=0.212855, epoch loss=4.522960
Batch=1199, step=9600, lr=0.160250, batch loss=0.168162, epoch loss=4.691122
Epoch=7, step=9600, lr=0.160250, epoch loss=4.691122
Batch=59, step=9660, lr=0.160000, batch loss=0.206515, epoch loss=0.206515
Batch=119, step=9720, lr=0.159750, batch loss=0.172947, epoch loss=0.379462
Batch=179, step=9780, lr=0.159500, batch loss=0.178747, epoch loss=0.558209
Batch=239, step=9840, lr=0.159250, batch loss=0.260179, epoch loss=0.818387
Batch=299, step=9900, lr=0.159000, batch loss=0.178919, epoch loss=0.997306
Batch=359, step=9960, lr=0.158750, batch loss=0.234120, epoch loss=1.231426
Batch=419, step=10020, lr=0.158500, batch loss=0.230653, epoch loss=1.462080
Batch=479, step=10080, lr=0.158000, batch loss=0.211755, epoch loss=1.673835
Batch=539, step=10140, lr=0.157750, batch loss=0.170987, epoch loss=1.844822
Batch=599, step=10200, lr=0.157500, batch loss=0.199558, epoch loss=2.044380
Batch=659, step=10260, lr=0.157250, batch loss=0.282508, epoch loss=2.326888
Batch=719, step=10320, lr=0.157000, batch loss=0.288731, epoch loss=2.615619
Batch=779, step=10380, lr=0.157000, batch loss=0.295187, epoch loss=2.910806
Batch=839, step=10440, lr=0.156750, batch loss=0.267716, epoch loss=3.178522
Batch=899, step=10500, lr=0.156500, batch loss=0.241891, epoch loss=3.420413
Batch=959, step=10560, lr=0.156250, batch loss=0.198842, epoch loss=3.619255
Batch=1019, step=10620, lr=0.156000, batch loss=0.292190, epoch loss=3.911444
Batch=1079, step=10680, lr=0.155750, batch loss=0.179744, epoch loss=4.091188
Batch=1139, step=10740, lr=0.155500, batch loss=0.203861, epoch loss=4.295049
Batch=1199, step=10800, lr=0.155250, batch loss=0.155197, epoch loss=4.450246
Epoch=8, step=10800, lr=0.155250, epoch loss=4.450246
Batch=59, step=10860, lr=0.155000, batch loss=0.176551, epoch loss=0.176551
Batch=119, step=10920, lr=0.154750, batch loss=0.146994, epoch loss=0.323545
Batch=179, step=10980, lr=0.154500, batch loss=0.166178, epoch loss=0.489723
Batch=239, step=11040, lr=0.154000, batch loss=0.241977, epoch loss=0.731699
Batch=299, step=11100, lr=0.154000, batch loss=0.169134, epoch loss=0.900833
Batch=359, step=11160, lr=0.153500, batch loss=0.219552, epoch loss=1.120385
Batch=419, step=11220, lr=0.153500, batch loss=0.215042, epoch loss=1.335427
Batch=479, step=11280, lr=0.153250, batch loss=0.212155, epoch loss=1.547583
Batch=539, step=11340, lr=0.153000, batch loss=0.168374, epoch loss=1.715957
Batch=599, step=11400, lr=0.152750, batch loss=0.174742, epoch loss=1.890699
Batch=659, step=11460, lr=0.152500, batch loss=0.261200, epoch loss=2.151900
Batch=719, step=11520, lr=0.152000, batch loss=0.266276, epoch loss=2.418176
Batch=779, step=11580, lr=0.152000, batch loss=0.270393, epoch loss=2.688569
Batch=839, step=11640, lr=0.151500, batch loss=0.252221, epoch loss=2.940790
Batch=899, step=11700, lr=0.151500, batch loss=0.217274, epoch loss=3.158064
Batch=959, step=11760, lr=0.151000, batch loss=0.187092, epoch loss=3.345156
Batch=1019, step=11820, lr=0.151000, batch loss=0.289122, epoch loss=3.634277
Batch=1079, step=11880, lr=0.150750, batch loss=0.147265, epoch loss=3.781542
Batch=1139, step=11940, lr=0.150500, batch loss=0.179245, epoch loss=3.960787
Batch=1199, step=12000, lr=0.150250, batch loss=0.139342, epoch loss=4.100129
Epoch=9, step=12000, lr=0.150250, epoch loss=4.100129
Batch=59, step=12060, lr=0.150000, batch loss=0.159442, epoch loss=0.159442
Batch=119, step=12120, lr=0.149500, batch loss=0.127704, epoch loss=0.287146
Batch=179, step=12180, lr=0.149500, batch loss=0.151895, epoch loss=0.439041
Batch=239, step=12240, lr=0.149250, batch loss=0.219367, epoch loss=0.658408
Batch=299, step=12300, lr=0.149000, batch loss=0.140510, epoch loss=0.798918
Batch=359, step=12360, lr=0.148500, batch loss=0.197441, epoch loss=0.996360
Batch=419, step=12420, lr=0.148500, batch loss=0.203990, epoch loss=1.200350
Batch=479, step=12480, lr=0.148000, batch loss=0.180664, epoch loss=1.381014
Batch=539, step=12540, lr=0.148000, batch loss=0.141399, epoch loss=1.522413
Batch=599, step=12600, lr=0.147500, batch loss=0.152171, epoch loss=1.674584
Batch=659, step=12660, lr=0.147500, batch loss=0.230047, epoch loss=1.904631
Batch=719, step=12720, lr=0.147250, batch loss=0.227393, epoch loss=2.132024
Batch=779, step=12780, lr=0.147000, batch loss=0.242405, epoch loss=2.374428
Batch=839, step=12840, lr=0.146500, batch loss=0.225173, epoch loss=2.599601
Batch=899, step=12900, lr=0.146500, batch loss=0.185663, epoch loss=2.785265
Batch=959, step=12960, lr=0.146250, batch loss=0.143953, epoch loss=2.929218
Batch=1019, step=13020, lr=0.146000, batch loss=0.243034, epoch loss=3.172252
Batch=1079, step=13080, lr=0.145750, batch loss=0.110486, epoch loss=3.282738
Batch=1139, step=13140, lr=0.145250, batch loss=0.149784, epoch loss=3.432522
Batch=1199, step=13200, lr=0.145250, batch loss=0.116746, epoch loss=3.549268
Epoch=10, step=13200, lr=0.145250, epoch loss=3.549268
Batch=59, step=13260, lr=0.145000, batch loss=0.134078, epoch loss=0.134078
Batch=119, step=13320, lr=0.144750, batch loss=0.111976, epoch loss=0.246054
Batch=179, step=13380, lr=0.144500, batch loss=0.126967, epoch loss=0.373021
Batch=239, step=13440, lr=0.144250, batch loss=0.185012, epoch loss=0.558033
Batch=299, step=13500, lr=0.144000, batch loss=0.117289, epoch loss=0.675322
Batch=359, step=13560, lr=0.143750, batch loss=0.160588, epoch loss=0.835910
Batch=419, step=13620, lr=0.143500, batch loss=0.161716, epoch loss=0.997626
Batch=479, step=13680, lr=0.143250, batch loss=0.146281, epoch loss=1.143907
Batch=539, step=13740, lr=0.143000, batch loss=0.118483, epoch loss=1.262391
Batch=599, step=13800, lr=0.142750, batch loss=0.120088, epoch loss=1.382479
Batch=659, step=13860, lr=0.142500, batch loss=0.175315, epoch loss=1.557794
Batch=719, step=13920, lr=0.142250, batch loss=0.177503, epoch loss=1.735297
Batch=779, step=13980, lr=0.141750, batch loss=0.196574, epoch loss=1.931871
Batch=839, step=14040, lr=0.141750, batch loss=0.186393, epoch loss=2.118265
Batch=899, step=14100, lr=0.141500, batch loss=0.157049, epoch loss=2.275314
Batch=959, step=14160, lr=0.141250, batch loss=0.137551, epoch loss=2.412865
Batch=1019, step=14220, lr=0.140750, batch loss=0.313303, epoch loss=2.726168
Batch=1079, step=14280, lr=0.140750, batch loss=0.082661, epoch loss=2.808829
Batch=1139, step=14340, lr=0.140500, batch loss=0.121666, epoch loss=2.930495
Batch=1199, step=14400, lr=0.140000, batch loss=0.090480, epoch loss=3.020975
Epoch=11, step=14400, lr=0.140000, epoch loss=3.020975
Batch=59, step=14460, lr=0.139750, batch loss=0.114644, epoch loss=0.114644
Batch=119, step=14520, lr=0.139750, batch loss=0.108074, epoch loss=0.222718
Batch=179, step=14580, lr=0.139500, batch loss=0.105437, epoch loss=0.328154
Batch=239, step=14640, lr=0.139000, batch loss=0.139326, epoch loss=0.467480
Batch=299, step=14700, lr=0.138750, batch loss=0.081685, epoch loss=0.549165
Batch=359, step=14760, lr=0.138750, batch loss=0.130899, epoch loss=0.680063
Batch=419, step=14820, lr=0.138500, batch loss=0.155418, epoch loss=0.835481
Batch=479, step=14880, lr=0.138000, batch loss=0.087397, epoch loss=0.922878
Batch=539, step=14940, lr=0.138000, batch loss=0.072606, epoch loss=0.995484
Batch=599, step=15000, lr=0.137750, batch loss=0.093542, epoch loss=1.089026
Batch=659, step=15060, lr=0.137250, batch loss=0.176310, epoch loss=1.265336
Batch=719, step=15120, lr=0.137250, batch loss=0.132249, epoch loss=1.397585
Batch=779, step=15180, lr=0.137000, batch loss=0.157340, epoch loss=1.554925
Batch=839, step=15240, lr=0.136500, batch loss=0.147485, epoch loss=1.702410
Batch=899, step=15300, lr=0.136500, batch loss=0.138230, epoch loss=1.840640
Batch=959, step=15360, lr=0.136000, batch loss=0.101709, epoch loss=1.942349
Batch=1019, step=15420, lr=0.135750, batch loss=0.203691, epoch loss=2.146040
Batch=1079, step=15480, lr=0.135750, batch loss=0.032133, epoch loss=2.178173
Batch=1139, step=15540, lr=0.135500, batch loss=0.080223, epoch loss=2.258397
Batch=1199, step=15600, lr=0.135000, batch loss=0.051648, epoch loss=2.310045
Epoch=12, step=15600, lr=0.135000, epoch loss=2.310045
Batch=59, step=15660, lr=0.134750, batch loss=0.088303, epoch loss=0.088303
Batch=119, step=15720, lr=0.134500, batch loss=0.154617, epoch loss=0.242920
Batch=179, step=15780, lr=0.134500, batch loss=0.102648, epoch loss=0.345568
Batch=239, step=15840, lr=0.134250, batch loss=0.100755, epoch loss=0.446324
Batch=299, step=15900, lr=0.134000, batch loss=0.052060, epoch loss=0.498383
Batch=359, step=15960, lr=0.133750, batch loss=0.111687, epoch loss=0.610071
Batch=419, step=16020, lr=0.133500, batch loss=0.077271, epoch loss=0.687342
Batch=479, step=16080, lr=0.133000, batch loss=0.051732, epoch loss=0.739074
Batch=539, step=16140, lr=0.133000, batch loss=0.062742, epoch loss=0.801817
Batch=599, step=16200, lr=0.132750, batch loss=0.053309, epoch loss=0.855126
Batch=659, step=16260, lr=0.132500, batch loss=0.075723, epoch loss=0.930848
Batch=719, step=16320, lr=0.132250, batch loss=0.071842, epoch loss=1.002691
Batch=779, step=16380, lr=0.132000, batch loss=0.070226, epoch loss=1.072917
Batch=839, step=16440, lr=0.131750, batch loss=0.099958, epoch loss=1.172875
Batch=899, step=16500, lr=0.131500, batch loss=0.164052, epoch loss=1.336927
Batch=959, step=16560, lr=0.131250, batch loss=0.051880, epoch loss=1.388808
Batch=1019, step=16620, lr=0.131000, batch loss=0.129377, epoch loss=1.518185
Batch=1079, step=16680, lr=0.130750, batch loss=0.026813, epoch loss=1.544997
Batch=1139, step=16740, lr=0.130500, batch loss=0.058937, epoch loss=1.603934
Batch=1199, step=16800, lr=0.130250, batch loss=0.028329, epoch loss=1.632263
Epoch=13, step=16800, lr=0.130250, epoch loss=1.632263
Batch=59, step=16860, lr=0.130000, batch loss=0.039940, epoch loss=0.039940
Batch=119, step=16920, lr=0.129750, batch loss=0.065741, epoch loss=0.105680
Batch=179, step=16980, lr=0.129500, batch loss=0.051364, epoch loss=0.157044
Batch=239, step=17040, lr=0.129250, batch loss=0.067787, epoch loss=0.224832
Batch=299, step=17100, lr=0.129000, batch loss=0.039057, epoch loss=0.263889
Batch=359, step=17160, lr=0.128750, batch loss=0.050748, epoch loss=0.314637
Batch=419, step=17220, lr=0.128250, batch loss=0.090817, epoch loss=0.405455
Batch=479, step=17280, lr=0.128250, batch loss=0.023347, epoch loss=0.428801
Batch=539, step=17340, lr=0.128000, batch loss=0.027918, epoch loss=0.456719
Batch=599, step=17400, lr=0.127500, batch loss=0.036120, epoch loss=0.492839
Batch=659, step=17460, lr=0.127500, batch loss=0.051851, epoch loss=0.544689
Batch=719, step=17520, lr=0.127250, batch loss=0.078113, epoch loss=0.622802
Batch=779, step=17580, lr=0.127000, batch loss=0.055947, epoch loss=0.678749
Batch=839, step=17640, lr=0.126750, batch loss=0.091382, epoch loss=0.770131
Batch=899, step=17700, lr=0.126500, batch loss=0.049120, epoch loss=0.819252
Batch=959, step=17760, lr=0.126250, batch loss=0.017544, epoch loss=0.836795
Batch=1019, step=17820, lr=0.126000, batch loss=0.038645, epoch loss=0.875440
Batch=1079, step=17880, lr=0.125750, batch loss=0.036417, epoch loss=0.911857
Batch=1139, step=17940, lr=0.125250, batch loss=0.075062, epoch loss=0.986919
Batch=1199, step=18000, lr=0.125250, batch loss=0.023507, epoch loss=1.010425
Epoch=14, step=18000, lr=0.125250, epoch loss=1.010425
Batch=59, step=18060, lr=0.124750, batch loss=0.015175, epoch loss=0.015175
Batch=119, step=18120, lr=0.124500, batch loss=0.018268, epoch loss=0.033442
Batch=179, step=18180, lr=0.124500, batch loss=0.029374, epoch loss=0.062816
Batch=239, step=18240, lr=0.124250, batch loss=0.035695, epoch loss=0.098511
Batch=299, step=18300, lr=0.124000, batch loss=0.012257, epoch loss=0.110768
Batch=359, step=18360, lr=0.123750, batch loss=0.023587, epoch loss=0.134356
Batch=419, step=18420, lr=0.123500, batch loss=0.030075, epoch loss=0.164430
Batch=479, step=18480, lr=0.123000, batch loss=0.015866, epoch loss=0.180297
Batch=539, step=18540, lr=0.123000, batch loss=0.026698, epoch loss=0.206995
Batch=599, step=18600, lr=0.122750, batch loss=0.025562, epoch loss=0.232556
Batch=659, step=18660, lr=0.122250, batch loss=0.027511, epoch loss=0.260068
Batch=719, step=18720, lr=0.122250, batch loss=0.025395, epoch loss=0.285463
Batch=779, step=18780, lr=0.121750, batch loss=0.047835, epoch loss=0.333298
Batch=839, step=18840, lr=0.121500, batch loss=0.065260, epoch loss=0.398558
Batch=899, step=18900, lr=0.121250, batch loss=0.039653, epoch loss=0.438211
Batch=959, step=18960, lr=0.121250, batch loss=0.016804, epoch loss=0.455015
Batch=1019, step=19020, lr=0.120750, batch loss=0.022797, epoch loss=0.477813
Batch=1079, step=19080, lr=0.120750, batch loss=0.011102, epoch loss=0.488914
Batch=1139, step=19140, lr=0.120250, batch loss=0.023812, epoch loss=0.512726
Batch=1199, step=19200, lr=0.120250, batch loss=0.010386, epoch loss=0.523112
Epoch=15, step=19200, lr=0.120250, epoch loss=0.523112
Batch=59, step=19260, lr=0.120000, batch loss=0.006187, epoch loss=0.006187
Batch=119, step=19320, lr=0.119750, batch loss=0.014212, epoch loss=0.020398
Batch=179, step=19380, lr=0.119500, batch loss=0.037292, epoch loss=0.057690
Batch=239, step=19440, lr=0.119000, batch loss=0.023692, epoch loss=0.081383
Batch=299, step=19500, lr=0.119000, batch loss=0.006375, epoch loss=0.087758
Batch=359, step=19560, lr=0.118750, batch loss=0.016344, epoch loss=0.104102
Batch=419, step=19620, lr=0.118500, batch loss=0.018948, epoch loss=0.123050
Batch=479, step=19680, lr=0.118250, batch loss=0.008386, epoch loss=0.131436
Batch=539, step=19740, lr=0.117750, batch loss=0.021232, epoch loss=0.152668
Batch=599, step=19800, lr=0.117750, batch loss=0.020750, epoch loss=0.173418
Batch=659, step=19860, lr=0.117500, batch loss=0.020164, epoch loss=0.193582
Batch=719, step=19920, lr=0.117250, batch loss=0.026885, epoch loss=0.220467
Batch=779, step=19980, lr=0.116750, batch loss=0.071887, epoch loss=0.292354
Batch=839, step=20040, lr=0.116750, batch loss=0.031703, epoch loss=0.324057
Batch=899, step=20100, lr=0.116500, batch loss=0.028085, epoch loss=0.352142
Batch=959, step=20160, lr=0.116250, batch loss=0.019524, epoch loss=0.371666
Batch=1019, step=20220, lr=0.115750, batch loss=0.024111, epoch loss=0.395777
Batch=1079, step=20280, lr=0.115750, batch loss=0.005107, epoch loss=0.400884
Batch=1139, step=20340, lr=0.115250, batch loss=0.013939, epoch loss=0.414824
Batch=1199, step=20400, lr=0.115250, batch loss=0.005950, epoch loss=0.420774
Epoch=16, step=20400, lr=0.115250, epoch loss=0.420774
Batch=59, step=20460, lr=0.115000, batch loss=0.003022, epoch loss=0.003022
Batch=119, step=20520, lr=0.114750, batch loss=0.008512, epoch loss=0.011534
Batch=179, step=20580, lr=0.114250, batch loss=0.015005, epoch loss=0.026539
Batch=239, step=20640, lr=0.114250, batch loss=0.013072, epoch loss=0.039611
Batch=299, step=20700, lr=0.113750, batch loss=0.004826, epoch loss=0.044437
Batch=359, step=20760, lr=0.113750, batch loss=0.015116, epoch loss=0.059553
Batch=419, step=20820, lr=0.113500, batch loss=0.015235, epoch loss=0.074788
Batch=479, step=20880, lr=0.113250, batch loss=0.005655, epoch loss=0.080443
Batch=539, step=20940, lr=0.113000, batch loss=0.017218, epoch loss=0.097661
Batch=599, step=21000, lr=0.112500, batch loss=0.018040, epoch loss=0.115701
Batch=659, step=21060, lr=0.112250, batch loss=0.014026, epoch loss=0.129727
Batch=719, step=21120, lr=0.112000, batch loss=0.044397, epoch loss=0.174124
Batch=779, step=21180, lr=0.111750, batch loss=0.071012, epoch loss=0.245136
Batch=839, step=21240, lr=0.111500, batch loss=0.025116, epoch loss=0.270252
Batch=899, step=21300, lr=0.111500, batch loss=0.029496, epoch loss=0.299748
Batch=959, step=21360, lr=0.111250, batch loss=0.010875, epoch loss=0.310623
Batch=1019, step=21420, lr=0.111000, batch loss=0.012851, epoch loss=0.323474
Batch=1079, step=21480, lr=0.110750, batch loss=0.002237, epoch loss=0.325710
Batch=1139, step=21540, lr=0.110250, batch loss=0.012787, epoch loss=0.338498
Batch=1199, step=21600, lr=0.110000, batch loss=0.005176, epoch loss=0.343674
Epoch=17, step=21600, lr=0.110000, epoch loss=0.343674
Batch=59, step=21660, lr=0.109750, batch loss=0.002571, epoch loss=0.002571
Batch=119, step=21720, lr=0.109500, batch loss=0.006980, epoch loss=0.009551
Batch=179, step=21780, lr=0.109250, batch loss=0.012710, epoch loss=0.022261
Batch=239, step=21840, lr=0.109250, batch loss=0.010219, epoch loss=0.032480
Batch=299, step=21900, lr=0.109000, batch loss=0.011236, epoch loss=0.043716
Batch=359, step=21960, lr=0.108750, batch loss=0.013942, epoch loss=0.057658
Batch=419, step=22020, lr=0.108500, batch loss=0.012776, epoch loss=0.070434
Batch=479, step=22080, lr=0.108250, batch loss=0.003053, epoch loss=0.073487
Batch=539, step=22140, lr=0.108000, batch loss=0.016886, epoch loss=0.090373
Batch=599, step=22200, lr=0.107750, batch loss=0.015501, epoch loss=0.105874
Batch=659, step=22260, lr=0.107500, batch loss=0.011113, epoch loss=0.116987
Batch=719, step=22320, lr=0.107250, batch loss=0.018612, epoch loss=0.135599
Batch=779, step=22380, lr=0.106750, batch loss=0.023431, epoch loss=0.159031
Batch=839, step=22440, lr=0.106750, batch loss=0.026172, epoch loss=0.185203
Batch=899, step=22500, lr=0.106500, batch loss=0.026978, epoch loss=0.212181
Batch=959, step=22560, lr=0.106250, batch loss=0.008831, epoch loss=0.221012
Batch=1019, step=22620, lr=0.106000, batch loss=0.008612, epoch loss=0.229624
Batch=1079, step=22680, lr=0.105750, batch loss=0.001053, epoch loss=0.230677
Batch=1139, step=22740, lr=0.105500, batch loss=0.010079, epoch loss=0.240757
Batch=1199, step=22800, lr=0.105250, batch loss=0.004884, epoch loss=0.245641
Epoch=18, step=22800, lr=0.105250, epoch loss=0.245641
Batch=59, step=22860, lr=0.105000, batch loss=0.001995, epoch loss=0.001995
Batch=119, step=22920, lr=0.104500, batch loss=0.005386, epoch loss=0.007381
Batch=179, step=22980, lr=0.104500, batch loss=0.011083, epoch loss=0.018464
Batch=239, step=23040, lr=0.104250, batch loss=0.008637, epoch loss=0.027102
Batch=299, step=23100, lr=0.103750, batch loss=0.009331, epoch loss=0.036433
Batch=359, step=23160, lr=0.103750, batch loss=0.013127, epoch loss=0.049560
Batch=419, step=23220, lr=0.103500, batch loss=0.011048, epoch loss=0.060608
Batch=479, step=23280, lr=0.103250, batch loss=0.004015, epoch loss=0.064622
Batch=539, step=23340, lr=0.103000, batch loss=0.014075, epoch loss=0.078697
Batch=599, step=23400, lr=0.102750, batch loss=0.014730, epoch loss=0.093428
Batch=659, step=23460, lr=0.102500, batch loss=0.014755, epoch loss=0.108182
Batch=719, step=23520, lr=0.102000, batch loss=0.020246, epoch loss=0.128428
Batch=779, step=23580, lr=0.102000, batch loss=0.025933, epoch loss=0.154361
Batch=839, step=23640, lr=0.101750, batch loss=0.029013, epoch loss=0.183374
Batch=899, step=23700, lr=0.101500, batch loss=0.021409, epoch loss=0.204783
Batch=959, step=23760, lr=0.101250, batch loss=0.009772, epoch loss=0.214554
Batch=1019, step=23820, lr=0.101000, batch loss=0.007631, epoch loss=0.222186
Batch=1079, step=23880, lr=0.100750, batch loss=0.000929, epoch loss=0.223115
Batch=1139, step=23940, lr=0.100500, batch loss=0.009004, epoch loss=0.232119
Batch=1199, step=24000, lr=0.100250, batch loss=0.004553, epoch loss=0.236672
Epoch=19, step=24000, lr=0.100250, epoch loss=0.236672


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 22:18.23 ---> saved as "779c43321beb8d3a0715bb0e95fffa0c3a99b6a9afc220c7967783daccaaa54c"
Job succeeded
2025-03-20 22:18.26: Job succeeded