(lower-bound)

2025-03-20 22:29.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (1a4d0ebb2cb2be9bf8422ae739357d8626151cd1) (linux-x86_64:(lower-bound))
Base: ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 1a4d0ebb
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71
# debian-12-5.2_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


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


2025-03-20 22:29.24: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-b52341ba23877e94ae09b5dde4872bfa"
2025-03-20 22:29.24: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71)
(comment debian-12-5.2_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-03-20 22:29.24: Waiting for resource in pool OCluster
2025-03-20 22:29.25: Waiting for worker…
2025-03-20 22:31.42: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at 1a4d0ebb fPIC for cc: but only openSUSE complained https://ocaml.ci.dev/github/ahrefs/ocannl/commit/ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0/variant/opensuse-15.6-5.3_opam-2.3


(from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71)
2025-03-20 22:32.04 ---> saved as "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8"


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


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-20 22:32.04 ---> saved as "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f"


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


Continue? [y/n] y
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.


[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 22:33.21 ---> saved as "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5"


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.2.1
2.3.0
2025-03-20 22:33.21 ---> saved as "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 22:33.21 ---> saved as "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
a8ed476033..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 22:34.21 ---> saved as "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 22:34.21 ---> saved as "f2f5ebcb90fe4d7778d0156232e743d8dbe87e1e3ca2a12d09b4c5932b870185"


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-03-20 22:34.25 ---> saved as "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 22:34.25 ---> saved as "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201"


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


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apt-get" "update"
- Hit:1 http://deb.debian.org/debian bookworm InRelease
- Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB]
- Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB]
- Get:4 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [249 kB]
- Fetched 353 kB in 0s (873 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 22:34.46 ---> saved as "5413d90b88bfad68372a87ba6af93a5c804fd152971fa170c50329eac12afcf9"


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


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved angstrom.0.15.0  (cached)
-> retrieved base.v0.17.0  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.5.0  (cached)
-> installed conf-pkg-config.1.0
-> retrieved cppo.1.6.7  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved backoff.0.1.0  (https://github.com/ocaml-multicore/backoff/releases/download/0.1.0/backoff-0.1.0.tbz)
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.6.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.0.0  (cached)
-> retrieved multicore-magic.2.3.0  (cached)
-> retrieved num.1.0  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.0  (cached)
-> retrieved ocamlbuild.0.14.3  (cached)
-> retrieved ocamlfind.1.9.6  (cached)
-> retrieved dune.3.14.0  (cached)
-> retrieved dune-configurator.2.7.0  (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.5.2  (cached)
-> retrieved ppx_expect.v0.17.0  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ptime.0.8.6  (cached)
-> retrieved re.1.9.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.0.3  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.1.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.6  (cached)
-> retrieved ppxlib.0.32.1  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved tyxml.4.4.0  (cached)
-> retrieved uutf.1.0.3  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.13.0.0  (cached)
-> installed ocamlfind.1.9.6
-> installed num.1.0
-> installed ocamlbuild.0.14.3
-> installed topkg.1.0.6
-> installed uutf.1.0.3
-> installed mtime.2.0.0
-> installed ptime.0.8.6
-> installed dune.3.14.0
-> installed backoff.0.1.0
-> installed bigarray-compat.1.1.0
-> installed bigstringaf.0.5.0
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed seq.0.3
-> installed printbox.0.12
-> installed result.1.5
-> installed stdlib-shims.0.1.0
-> installed multicore-magic.2.3.0
-> installed ocaml_intrinsics_kernel.v0.17.0
-> installed sexplib0.v0.17.0
-> installed cppo.1.6.7
-> installed integers.0.6.0
-> installed saturn_lockfree.0.5.0
-> installed ocaml-syntax-shims.1.0.0
-> installed dune-configurator.2.7.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed re.1.9.0
-> installed angstrom.0.15.0
-> installed parsexp.v0.17.0
-> installed sexplib.v0.17.0
-> installed tyxml.4.4.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed uucp.13.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.32.1
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.5.2
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_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.v0.17.0
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:36.17 ---> saved as "a706c3e8811936c940cce32ac493171bae38f86f52811ed8e079c228989c062b"


/src: (copy (src .) (dst /src))
2025-03-20 22:36.17 ---> saved as "83c96ea3f59bc999cd44b8084d3cd497864b747bdf4a9038e511179878f3cbc7"


/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/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1af8fb1e828d829a8a4bedc9bfd9e8f4/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/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=0.199250, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.851101, epoch loss=35.626483
Batch=299, step=300, lr=0.199000, batch loss=1.445322, epoch loss=37.071804
Batch=359, step=360, lr=0.198750, batch loss=1.330969, epoch loss=38.402774
Batch=419, step=420, lr=0.198500, batch loss=0.617836, epoch loss=39.020610
Batch=479, step=480, lr=0.198250, batch loss=0.823501, epoch loss=39.844111
Batch=539, step=540, lr=0.198000, batch loss=0.688277, epoch loss=40.532388
Batch=599, step=600, lr=0.197750, batch loss=1.066031, epoch loss=41.598418
Batch=659, step=660, lr=0.197500, batch loss=0.483025, epoch loss=42.081444
Batch=719, step=720, lr=0.197250, batch loss=0.411271, epoch loss=42.492715
Batch=779, step=780, lr=0.197000, batch loss=0.468765, epoch loss=42.961480
Batch=839, step=840, lr=0.196750, batch loss=0.443188, epoch loss=43.404668
Batch=899, step=900, lr=0.196500, batch loss=0.383587, epoch loss=43.788255
Batch=959, step=960, lr=0.196250, batch loss=0.237070, epoch loss=44.025325
Batch=1019, step=1020, lr=0.196000, batch loss=0.440501, epoch loss=44.465827
Batch=1079, step=1080, lr=0.195750, batch loss=0.229024, epoch loss=44.694851
Batch=1139, step=1140, lr=0.195500, batch loss=0.315348, epoch loss=45.010199
Batch=1199, step=1200, lr=0.195250, batch loss=0.263048, epoch loss=45.273247
Epoch=0, step=1200, lr=0.195250, epoch loss=45.273247
Batch=59, step=1260, lr=0.195000, batch loss=0.262227, epoch loss=0.262227
Batch=119, step=1320, lr=0.194750, batch loss=0.205533, epoch loss=0.467760
Batch=179, step=1380, lr=0.194500, batch loss=0.243004, epoch loss=0.710764
Batch=239, step=1440, lr=0.194250, batch loss=0.345567, epoch loss=1.056331
Batch=299, step=1500, lr=0.194000, batch loss=0.240367, epoch loss=1.296698
Batch=359, step=1560, lr=0.193750, batch loss=0.312209, epoch loss=1.608908
Batch=419, step=1620, lr=0.193500, batch loss=0.309427, epoch loss=1.918334
Batch=479, step=1680, lr=0.193250, batch loss=0.275917, epoch loss=2.194251
Batch=539, step=1740, lr=0.193000, batch loss=0.212106, epoch loss=2.406357
Batch=599, step=1800, lr=0.192750, batch loss=0.250514, epoch loss=2.656872
Batch=659, step=1860, lr=0.192500, batch loss=0.369565, epoch loss=3.026436
Batch=719, step=1920, lr=0.192250, batch loss=0.362177, epoch loss=3.388614
Batch=779, step=1980, lr=0.192000, batch loss=0.380988, epoch loss=3.769602
Batch=839, step=2040, lr=0.191750, batch loss=0.343261, epoch loss=4.112862
Batch=899, step=2100, lr=0.191500, batch loss=0.319707, epoch loss=4.432570
Batch=959, step=2160, lr=0.191250, batch loss=0.262375, epoch loss=4.694945
Batch=1019, step=2220, lr=0.191000, batch loss=0.424149, epoch loss=5.119093
Batch=1079, step=2280, lr=0.190750, batch loss=0.256719, epoch loss=5.375812
Batch=1139, step=2340, lr=0.190500, batch loss=0.307177, epoch loss=5.682990
Batch=1199, step=2400, lr=0.190250, batch loss=0.217412, epoch loss=5.900401
Epoch=1, step=2400, lr=0.190250, epoch loss=5.900401
Batch=59, step=2460, lr=0.190000, batch loss=0.231537, epoch loss=0.231537
Batch=119, step=2520, lr=0.189750, batch loss=0.186300, epoch loss=0.417837
Batch=179, step=2580, lr=0.189500, batch loss=0.223293, epoch loss=0.641130
Batch=239, step=2640, lr=0.189250, batch loss=0.339132, epoch loss=0.980261
Batch=299, step=2700, lr=0.189000, batch loss=0.210040, epoch loss=1.190301
Batch=359, step=2760, lr=0.188750, batch loss=0.295731, epoch loss=1.486032
Batch=419, step=2820, lr=0.188500, batch loss=0.281546, epoch loss=1.767578
Batch=479, step=2880, lr=0.188250, batch loss=0.253957, epoch loss=2.021534
Batch=539, step=2940, lr=0.188000, batch loss=0.194429, epoch loss=2.215964
Batch=599, step=3000, lr=0.187750, batch loss=0.232872, epoch loss=2.448836
Batch=659, step=3060, lr=0.187500, batch loss=0.342336, epoch loss=2.791172
Batch=719, step=3120, lr=0.187250, batch loss=0.341960, epoch loss=3.133131
Batch=779, step=3180, lr=0.187000, batch loss=0.364801, epoch loss=3.497933
Batch=839, step=3240, lr=0.186750, batch loss=0.322524, epoch loss=3.820457
Batch=899, step=3300, lr=0.186500, batch loss=0.286764, epoch loss=4.107221
Batch=959, step=3360, lr=0.186250, batch loss=0.210303, epoch loss=4.317524
Batch=1019, step=3420, lr=0.186000, batch loss=0.304879, epoch loss=4.622403
Batch=1079, step=3480, lr=0.185750, batch loss=0.171436, epoch loss=4.793839
Batch=1139, step=3540, lr=0.185500, batch loss=0.229217, epoch loss=5.023057
Batch=1199, step=3600, lr=0.185250, batch loss=0.200349, epoch loss=5.223406
Epoch=2, step=3600, lr=0.185250, epoch loss=5.223406
Batch=59, step=3660, lr=0.185000, batch loss=0.241113, epoch loss=0.241113
Batch=119, step=3720, lr=0.184750, batch loss=0.207772, epoch loss=0.448885
Batch=179, step=3780, lr=0.184500, batch loss=0.210749, epoch loss=0.659633
Batch=239, step=3840, lr=0.184250, batch loss=0.316583, epoch loss=0.976216
Batch=299, step=3900, lr=0.184000, batch loss=0.204231, epoch loss=1.180447
Batch=359, step=3960, lr=0.183750, batch loss=0.281764, epoch loss=1.462210
Batch=419, step=4020, lr=0.183500, batch loss=0.271252, epoch loss=1.733462
Batch=479, step=4080, lr=0.183250, batch loss=0.248798, epoch loss=1.982260
Batch=539, step=4140, lr=0.183000, batch loss=0.194294, epoch loss=2.176554
Batch=599, step=4200, lr=0.182750, batch loss=0.235983, epoch loss=2.412537
Batch=659, step=4260, lr=0.182500, batch loss=0.331823, epoch loss=2.744359
Batch=719, step=4320, lr=0.182250, batch loss=0.345055, epoch loss=3.089414
Batch=779, step=4380, lr=0.182000, batch loss=0.348196, epoch loss=3.437610
Batch=839, step=4440, lr=0.181750, batch loss=0.318284, epoch loss=3.755894
Batch=899, step=4500, lr=0.181500, batch loss=0.291213, epoch loss=4.047107
Batch=959, step=4560, lr=0.181250, batch loss=0.243983, epoch loss=4.291090
Batch=1019, step=4620, lr=0.181000, batch loss=0.340101, epoch loss=4.631191
Batch=1079, step=4680, lr=0.180750, batch loss=0.201005, epoch loss=4.832196
Batch=1139, step=4740, lr=0.180500, batch loss=0.237814, epoch loss=5.070010
Batch=1199, step=4800, lr=0.180250, batch loss=0.191877, epoch loss=5.261887
Epoch=3, step=4800, lr=0.180250, epoch loss=5.261887
Batch=59, step=4860, lr=0.180000, batch loss=0.223581, epoch loss=0.223581
Batch=119, step=4920, lr=0.179750, batch loss=0.187028, epoch loss=0.410608
Batch=179, step=4980, lr=0.179500, batch loss=0.205160, epoch loss=0.615768
Batch=239, step=5040, lr=0.179250, batch loss=0.307590, epoch loss=0.923358
Batch=299, step=5100, lr=0.179000, batch loss=0.207385, epoch loss=1.130742
Batch=359, step=5160, lr=0.178750, batch loss=0.274927, epoch loss=1.405669
Batch=419, step=5220, lr=0.178500, batch loss=0.275058, epoch loss=1.680727
Batch=479, step=5280, lr=0.178250, batch loss=0.246255, epoch loss=1.926982
Batch=539, step=5340, lr=0.178000, batch loss=0.193516, epoch loss=2.120498
Batch=599, step=5400, lr=0.177750, batch loss=0.237633, epoch loss=2.358131
Batch=659, step=5460, lr=0.177500, batch loss=0.319856, epoch loss=2.677986
Batch=719, step=5520, lr=0.177250, batch loss=0.324466, epoch loss=3.002452
Batch=779, step=5580, lr=0.177000, batch loss=0.339353, epoch loss=3.341805
Batch=839, step=5640, lr=0.176750, batch loss=0.312331, epoch loss=3.654136
Batch=899, step=5700, lr=0.176500, batch loss=0.274625, epoch loss=3.928761
Batch=959, step=5760, lr=0.176250, batch loss=0.211889, epoch loss=4.140649
Batch=1019, step=5820, lr=0.176000, batch loss=0.339649, epoch loss=4.480299
Batch=1079, step=5880, lr=0.175750, batch loss=0.208470, epoch loss=4.688769
Batch=1139, step=5940, lr=0.175500, batch loss=0.238529, epoch loss=4.927298
Batch=1199, step=6000, lr=0.175250, batch loss=0.187426, epoch loss=5.114724
Epoch=4, step=6000, lr=0.175250, epoch loss=5.114724
Batch=59, step=6060, lr=0.175000, batch loss=0.231502, epoch loss=0.231502
Batch=119, step=6120, lr=0.174750, batch loss=0.191958, epoch loss=0.423461
Batch=179, step=6180, lr=0.174500, batch loss=0.200700, epoch loss=0.624161
Batch=239, step=6240, lr=0.174250, batch loss=0.301685, epoch loss=0.925846
Batch=299, step=6300, lr=0.174000, batch loss=0.211398, epoch loss=1.137244
Batch=359, step=6360, lr=0.173750, batch loss=0.273072, epoch loss=1.410316
Batch=419, step=6420, lr=0.173500, batch loss=0.268688, epoch loss=1.679004
Batch=479, step=6480, lr=0.173250, batch loss=0.240088, epoch loss=1.919092
Batch=539, step=6540, lr=0.173000, batch loss=0.190623, epoch loss=2.109715
Batch=599, step=6600, lr=0.172750, batch loss=0.223150, epoch loss=2.332865
Batch=659, step=6660, lr=0.172500, batch loss=0.315595, epoch loss=2.648460
Batch=719, step=6720, lr=0.172250, batch loss=0.314840, epoch loss=2.963300
Batch=779, step=6780, lr=0.172000, batch loss=0.333451, epoch loss=3.296751
Batch=839, step=6840, lr=0.171750, batch loss=0.302992, epoch loss=3.599743
Batch=899, step=6900, lr=0.171500, batch loss=0.268164, epoch loss=3.867906
Batch=959, step=6960, lr=0.171250, batch loss=0.210082, epoch loss=4.077988
Batch=1019, step=7020, lr=0.171000, batch loss=0.329419, epoch loss=4.407407
Batch=1079, step=7080, lr=0.170750, batch loss=0.180357, epoch loss=4.587764
Batch=1139, step=7140, lr=0.170500, batch loss=0.216799, epoch loss=4.804563
Batch=1199, step=7200, lr=0.170250, batch loss=0.181426, epoch loss=4.985989
Epoch=5, step=7200, lr=0.170250, epoch loss=4.985989
Batch=59, step=7260, lr=0.170000, batch loss=0.231993, epoch loss=0.231993
Batch=119, step=7320, lr=0.169750, batch loss=0.183867, epoch loss=0.415860
Batch=179, step=7380, lr=0.169500, batch loss=0.196489, epoch loss=0.612349
Batch=239, step=7440, lr=0.169250, batch loss=0.293606, epoch loss=0.905955
Batch=299, step=7500, lr=0.169000, batch loss=0.205218, epoch loss=1.111173
Batch=359, step=7560, lr=0.168750, batch loss=0.262796, epoch loss=1.373969
Batch=419, step=7620, lr=0.168500, batch loss=0.254814, epoch loss=1.628783
Batch=479, step=7680, lr=0.168250, batch loss=0.237117, epoch loss=1.865900
Batch=539, step=7740, lr=0.168000, batch loss=0.185518, epoch loss=2.051419
Batch=599, step=7800, lr=0.167750, batch loss=0.226148, epoch loss=2.277567
Batch=659, step=7860, lr=0.167500, batch loss=0.304582, epoch loss=2.582149
Batch=719, step=7920, lr=0.167250, batch loss=0.309037, epoch loss=2.891186
Batch=779, step=7980, lr=0.167000, batch loss=0.325114, epoch loss=3.216300
Batch=839, step=8040, lr=0.166750, batch loss=0.294626, epoch loss=3.510926
Batch=899, step=8100, lr=0.166500, batch loss=0.261217, epoch loss=3.772143
Batch=959, step=8160, lr=0.166250, batch loss=0.203666, epoch loss=3.975810
Batch=1019, step=8220, lr=0.166000, batch loss=0.324810, epoch loss=4.300620
Batch=1079, step=8280, lr=0.165750, batch loss=0.197784, epoch loss=4.498404
Batch=1139, step=8340, lr=0.165500, batch loss=0.224820, epoch loss=4.723225
Batch=1199, step=8400, lr=0.165250, batch loss=0.175306, epoch loss=4.898530
Epoch=6, step=8400, lr=0.165250, epoch loss=4.898530
Batch=59, step=8460, lr=0.165000, batch loss=0.214442, epoch loss=0.214442
Batch=119, step=8520, lr=0.164750, batch loss=0.176846, epoch loss=0.391288
Batch=179, step=8580, lr=0.164500, batch loss=0.188984, epoch loss=0.580272
Batch=239, step=8640, lr=0.164250, batch loss=0.279707, epoch loss=0.859979
Batch=299, step=8700, lr=0.164000, batch loss=0.190095, epoch loss=1.050074
Batch=359, step=8760, lr=0.163750, batch loss=0.246552, epoch loss=1.296626
Batch=419, step=8820, lr=0.163500, batch loss=0.244269, epoch loss=1.540895
Batch=479, step=8880, lr=0.163250, batch loss=0.229109, epoch loss=1.770004
Batch=539, step=8940, lr=0.163000, batch loss=0.176791, epoch loss=1.946795
Batch=599, step=9000, lr=0.162750, batch loss=0.218493, epoch loss=2.165289
Batch=659, step=9060, lr=0.162500, batch loss=0.294109, epoch loss=2.459398
Batch=719, step=9120, lr=0.162250, batch loss=0.298579, epoch loss=2.757977
Batch=779, step=9180, lr=0.162000, batch loss=0.314666, epoch loss=3.072643
Batch=839, step=9240, lr=0.161750, batch loss=0.282947, epoch loss=3.355590
Batch=899, step=9300, lr=0.161500, batch loss=0.253374, epoch loss=3.608964
Batch=959, step=9360, lr=0.161250, batch loss=0.188419, epoch loss=3.797384
Batch=1019, step=9420, lr=0.161000, batch loss=0.317189, epoch loss=4.114572
Batch=1079, step=9480, lr=0.160750, batch loss=0.183157, epoch loss=4.297729
Batch=1139, step=9540, lr=0.160500, batch loss=0.207344, epoch loss=4.505073
Batch=1199, step=9600, lr=0.160250, batch loss=0.166990, epoch loss=4.672063
Epoch=7, step=9600, lr=0.160250, epoch loss=4.672063
Batch=59, step=9660, lr=0.160000, batch loss=0.201800, epoch loss=0.201800
Batch=119, step=9720, lr=0.159750, batch loss=0.162329, epoch loss=0.364129
Batch=179, step=9780, lr=0.159500, batch loss=0.179777, epoch loss=0.543906
Batch=239, step=9840, lr=0.159250, batch loss=0.262060, epoch loss=0.805965
Batch=299, step=9900, lr=0.159000, batch loss=0.186345, epoch loss=0.992310
Batch=359, step=9960, lr=0.158750, batch loss=0.242251, epoch loss=1.234561
Batch=419, step=10020, lr=0.158500, batch loss=0.231279, epoch loss=1.465840
Batch=479, step=10080, lr=0.158250, batch loss=0.213215, epoch loss=1.679055
Batch=539, step=10140, lr=0.158000, batch loss=0.171212, epoch loss=1.850267
Batch=599, step=10200, lr=0.157750, batch loss=0.201118, epoch loss=2.051385
Batch=659, step=10260, lr=0.157500, batch loss=0.281886, epoch loss=2.333272
Batch=719, step=10320, lr=0.157250, batch loss=0.283363, epoch loss=2.616634
Batch=779, step=10380, lr=0.157000, batch loss=0.300019, epoch loss=2.916653
Batch=839, step=10440, lr=0.156750, batch loss=0.273090, epoch loss=3.189743
Batch=899, step=10500, lr=0.156500, batch loss=0.240197, epoch loss=3.429940
Batch=959, step=10560, lr=0.156250, batch loss=0.199983, epoch loss=3.629923
Batch=1019, step=10620, lr=0.156000, batch loss=0.276874, epoch loss=3.906798
Batch=1079, step=10680, lr=0.155750, batch loss=0.151736, epoch loss=4.058534
Batch=1139, step=10740, lr=0.155500, batch loss=0.181673, epoch loss=4.240207
Batch=1199, step=10800, lr=0.155250, batch loss=0.163852, epoch loss=4.404059
Epoch=8, step=10800, lr=0.155250, epoch loss=4.404059
Batch=59, step=10860, lr=0.155000, batch loss=0.194428, epoch loss=0.194428
Batch=119, step=10920, lr=0.154750, batch loss=0.161744, epoch loss=0.356172
Batch=179, step=10980, lr=0.154500, batch loss=0.166994, epoch loss=0.523166
Batch=239, step=11040, lr=0.154250, batch loss=0.244426, epoch loss=0.767592
Batch=299, step=11100, lr=0.154000, batch loss=0.168180, epoch loss=0.935772
Batch=359, step=11160, lr=0.153750, batch loss=0.222470, epoch loss=1.158242
Batch=419, step=11220, lr=0.153500, batch loss=0.226465, epoch loss=1.384707
Batch=479, step=11280, lr=0.153250, batch loss=0.206333, epoch loss=1.591040
Batch=539, step=11340, lr=0.153000, batch loss=0.158141, epoch loss=1.749181
Batch=599, step=11400, lr=0.152750, batch loss=0.183495, epoch loss=1.932675
Batch=659, step=11460, lr=0.152500, batch loss=0.263543, epoch loss=2.196218
Batch=719, step=11520, lr=0.152250, batch loss=0.256388, epoch loss=2.452607
Batch=779, step=11580, lr=0.152000, batch loss=0.272673, epoch loss=2.725279
Batch=839, step=11640, lr=0.151750, batch loss=0.256662, epoch loss=2.981942
Batch=899, step=11700, lr=0.151500, batch loss=0.218731, epoch loss=3.200673
Batch=959, step=11760, lr=0.151250, batch loss=0.161885, epoch loss=3.362559
Batch=1019, step=11820, lr=0.151000, batch loss=0.261350, epoch loss=3.623909
Batch=1079, step=11880, lr=0.150750, batch loss=0.157566, epoch loss=3.781475
Batch=1139, step=11940, lr=0.150500, batch loss=0.190997, epoch loss=3.972472
Batch=1199, step=12000, lr=0.150250, batch loss=0.140455, epoch loss=4.112927
Epoch=9, step=12000, lr=0.150250, epoch loss=4.112927
Batch=59, step=12060, lr=0.150000, batch loss=0.163096, epoch loss=0.163096
Batch=119, step=12120, lr=0.149750, batch loss=0.137507, epoch loss=0.300604
Batch=179, step=12180, lr=0.149500, batch loss=0.151874, epoch loss=0.452477
Batch=239, step=12240, lr=0.149250, batch loss=0.220353, epoch loss=0.672831
Batch=299, step=12300, lr=0.149000, batch loss=0.145373, epoch loss=0.818204
Batch=359, step=12360, lr=0.148750, batch loss=0.198943, epoch loss=1.017146
Batch=419, step=12420, lr=0.148500, batch loss=0.207860, epoch loss=1.225006
Batch=479, step=12480, lr=0.148250, batch loss=0.180953, epoch loss=1.405959
Batch=539, step=12540, lr=0.148000, batch loss=0.144312, epoch loss=1.550271
Batch=599, step=12600, lr=0.147750, batch loss=0.151669, epoch loss=1.701940
Batch=659, step=12660, lr=0.147500, batch loss=0.227915, epoch loss=1.929855
Batch=719, step=12720, lr=0.147250, batch loss=0.236281, epoch loss=2.166137
Batch=779, step=12780, lr=0.147000, batch loss=0.257839, epoch loss=2.423976
Batch=839, step=12840, lr=0.146750, batch loss=0.225113, epoch loss=2.649089
Batch=899, step=12900, lr=0.146500, batch loss=0.189746, epoch loss=2.838835
Batch=959, step=12960, lr=0.146250, batch loss=0.160761, epoch loss=2.999596
Batch=1019, step=13020, lr=0.146000, batch loss=0.255790, epoch loss=3.255386
Batch=1079, step=13080, lr=0.145750, batch loss=0.123144, epoch loss=3.378530
Batch=1139, step=13140, lr=0.145500, batch loss=0.158395, epoch loss=3.536925
Batch=1199, step=13200, lr=0.145250, batch loss=0.120432, epoch loss=3.657357
Epoch=10, step=13200, lr=0.145250, epoch loss=3.657357
Batch=59, step=13260, lr=0.145000, batch loss=0.146805, epoch loss=0.146805
Batch=119, step=13320, lr=0.144750, batch loss=0.119702, epoch loss=0.266508
Batch=179, step=13380, lr=0.144500, batch loss=0.129819, epoch loss=0.396326
Batch=239, step=13440, lr=0.144250, batch loss=0.186316, epoch loss=0.582642
Batch=299, step=13500, lr=0.144000, batch loss=0.123382, epoch loss=0.706024
Batch=359, step=13560, lr=0.143750, batch loss=0.165676, epoch loss=0.871701
Batch=419, step=13620, lr=0.143500, batch loss=0.164034, epoch loss=1.035734
Batch=479, step=13680, lr=0.143250, batch loss=0.147175, epoch loss=1.182910
Batch=539, step=13740, lr=0.143000, batch loss=0.121114, epoch loss=1.304024
Batch=599, step=13800, lr=0.142750, batch loss=0.122827, epoch loss=1.426851
Batch=659, step=13860, lr=0.142500, batch loss=0.179742, epoch loss=1.606592
Batch=719, step=13920, lr=0.142250, batch loss=0.180921, epoch loss=1.787514
Batch=779, step=13980, lr=0.142000, batch loss=0.200547, epoch loss=1.988061
Batch=839, step=14040, lr=0.141750, batch loss=0.187486, epoch loss=2.175547
Batch=899, step=14100, lr=0.141500, batch loss=0.158762, epoch loss=2.334309
Batch=959, step=14160, lr=0.141250, batch loss=0.141686, epoch loss=2.475996
Batch=1019, step=14220, lr=0.141000, batch loss=0.277604, epoch loss=2.753600
Batch=1079, step=14280, lr=0.140750, batch loss=0.082651, epoch loss=2.836251
Batch=1139, step=14340, lr=0.140500, batch loss=0.129107, epoch loss=2.965358
Batch=1199, step=14400, lr=0.140250, batch loss=0.093359, epoch loss=3.058717
Epoch=11, step=14400, lr=0.140250, epoch loss=3.058717
Batch=59, step=14460, lr=0.140000, batch loss=0.113834, epoch loss=0.113834
Batch=119, step=14520, lr=0.139750, batch loss=0.111069, epoch loss=0.224903
Batch=179, step=14580, lr=0.139500, batch loss=0.106969, epoch loss=0.331872
Batch=239, step=14640, lr=0.139250, batch loss=0.143445, epoch loss=0.475316
Batch=299, step=14700, lr=0.139000, batch loss=0.083525, epoch loss=0.558841
Batch=359, step=14760, lr=0.138750, batch loss=0.119589, epoch loss=0.678431
Batch=419, step=14820, lr=0.138500, batch loss=0.127023, epoch loss=0.805453
Batch=479, step=14880, lr=0.138250, batch loss=0.109041, epoch loss=0.914494
Batch=539, step=14940, lr=0.138000, batch loss=0.104182, epoch loss=1.018676
Batch=599, step=15000, lr=0.137750, batch loss=0.087543, epoch loss=1.106219
Batch=659, step=15060, lr=0.137500, batch loss=0.130307, epoch loss=1.236526
Batch=719, step=15120, lr=0.137250, batch loss=0.131090, epoch loss=1.367616
Batch=779, step=15180, lr=0.137000, batch loss=0.146041, epoch loss=1.513657
Batch=839, step=15240, lr=0.136750, batch loss=0.162551, epoch loss=1.676209
Batch=899, step=15300, lr=0.136500, batch loss=0.280147, epoch loss=1.956355
Batch=959, step=15360, lr=0.136250, batch loss=0.063384, epoch loss=2.019739
Batch=1019, step=15420, lr=0.136000, batch loss=0.147138, epoch loss=2.166877
Batch=1079, step=15480, lr=0.135750, batch loss=0.044305, epoch loss=2.211182
Batch=1139, step=15540, lr=0.135500, batch loss=0.102739, epoch loss=2.313921
Batch=1199, step=15600, lr=0.135250, batch loss=0.061841, epoch loss=2.375762
Epoch=12, step=15600, lr=0.135250, epoch loss=2.375762
Batch=59, step=15660, lr=0.135000, batch loss=0.086860, epoch loss=0.086860
Batch=119, step=15720, lr=0.134750, batch loss=0.135908, epoch loss=0.222768
Batch=179, step=15780, lr=0.134500, batch loss=0.099776, epoch loss=0.322544
Batch=239, step=15840, lr=0.134250, batch loss=0.100219, epoch loss=0.422763
Batch=299, step=15900, lr=0.134000, batch loss=0.047798, epoch loss=0.470561
Batch=359, step=15960, lr=0.133750, batch loss=0.088759, epoch loss=0.559320
Batch=419, step=16020, lr=0.133500, batch loss=0.078998, epoch loss=0.638318
Batch=479, step=16080, lr=0.133250, batch loss=0.058556, epoch loss=0.696875
Batch=539, step=16140, lr=0.133000, batch loss=0.068500, epoch loss=0.765375
Batch=599, step=16200, lr=0.132750, batch loss=0.146454, epoch loss=0.911829
Batch=659, step=16260, lr=0.132500, batch loss=0.088686, epoch loss=1.000515
Batch=719, step=16320, lr=0.132250, batch loss=0.142101, epoch loss=1.142615
Batch=779, step=16380, lr=0.132000, batch loss=0.312476, epoch loss=1.455092
Batch=839, step=16440, lr=0.131750, batch loss=0.100967, epoch loss=1.556059
Batch=899, step=16500, lr=0.131500, batch loss=0.091254, epoch loss=1.647314
Batch=959, step=16560, lr=0.131250, batch loss=0.035576, epoch loss=1.682890
Batch=1019, step=16620, lr=0.131000, batch loss=0.059339, epoch loss=1.742229
Batch=1079, step=16680, lr=0.130750, batch loss=0.056605, epoch loss=1.798834
Batch=1139, step=16740, lr=0.130500, batch loss=0.105375, epoch loss=1.904209
Batch=1199, step=16800, lr=0.130250, batch loss=0.051882, epoch loss=1.956091
Epoch=13, step=16800, lr=0.130250, epoch loss=1.956091
Batch=59, step=16860, lr=0.130000, batch loss=0.036678, epoch loss=0.036678
Batch=119, step=16920, lr=0.129750, batch loss=0.035834, epoch loss=0.072511
Batch=179, step=16980, lr=0.129500, batch loss=0.045320, epoch loss=0.117831
Batch=239, step=17040, lr=0.129250, batch loss=0.067150, epoch loss=0.184981
Batch=299, step=17100, lr=0.129000, batch loss=0.059158, epoch loss=0.244139
Batch=359, step=17160, lr=0.128750, batch loss=0.050427, epoch loss=0.294566
Batch=419, step=17220, lr=0.128500, batch loss=0.054437, epoch loss=0.349004
Batch=479, step=17280, lr=0.128250, batch loss=0.027968, epoch loss=0.376972
Batch=539, step=17340, lr=0.128000, batch loss=0.047194, epoch loss=0.424166
Batch=599, step=17400, lr=0.127750, batch loss=0.037205, epoch loss=0.461371
Batch=659, step=17460, lr=0.127500, batch loss=0.051318, epoch loss=0.512688
Batch=719, step=17520, lr=0.127250, batch loss=0.042441, epoch loss=0.555130
Batch=779, step=17580, lr=0.127000, batch loss=0.051828, epoch loss=0.606958
Batch=839, step=17640, lr=0.126750, batch loss=0.095952, epoch loss=0.702910
Batch=899, step=17700, lr=0.126500, batch loss=0.120795, epoch loss=0.823705
Batch=959, step=17760, lr=0.126250, batch loss=0.036794, epoch loss=0.860499
Batch=1019, step=17820, lr=0.126000, batch loss=0.072414, epoch loss=0.932913
Batch=1079, step=17880, lr=0.125750, batch loss=0.015854, epoch loss=0.948767
Batch=1139, step=17940, lr=0.125500, batch loss=0.030093, epoch loss=0.978859
Batch=1199, step=18000, lr=0.125250, batch loss=0.015691, epoch loss=0.994550
Epoch=14, step=18000, lr=0.125250, epoch loss=0.994550
Batch=59, step=18060, lr=0.125000, batch loss=0.012956, epoch loss=0.012956
Batch=119, step=18120, lr=0.124750, batch loss=0.019086, epoch loss=0.032042
Batch=179, step=18180, lr=0.124500, batch loss=0.030246, epoch loss=0.062287
Batch=239, step=18240, lr=0.124250, batch loss=0.035630, epoch loss=0.097917
Batch=299, step=18300, lr=0.124000, batch loss=0.012223, epoch loss=0.110140
Batch=359, step=18360, lr=0.123750, batch loss=0.023709, epoch loss=0.133849
Batch=419, step=18420, lr=0.123500, batch loss=0.029395, epoch loss=0.163245
Batch=479, step=18480, lr=0.123250, batch loss=0.020604, epoch loss=0.183848
Batch=539, step=18540, lr=0.123000, batch loss=0.040206, epoch loss=0.224054
Batch=599, step=18600, lr=0.122750, batch loss=0.026451, epoch loss=0.250505
Batch=659, step=18660, lr=0.122500, batch loss=0.032688, epoch loss=0.283193
Batch=719, step=18720, lr=0.122250, batch loss=0.046658, epoch loss=0.329851
Batch=779, step=18780, lr=0.122000, batch loss=0.116965, epoch loss=0.446817
Batch=839, step=18840, lr=0.121750, batch loss=0.056394, epoch loss=0.503210
Batch=899, step=18900, lr=0.121500, batch loss=0.053830, epoch loss=0.557041
Batch=959, step=18960, lr=0.121250, batch loss=0.015198, epoch loss=0.572238
Batch=1019, step=19020, lr=0.121000, batch loss=0.021981, epoch loss=0.594219
Batch=1079, step=19080, lr=0.120750, batch loss=0.009832, epoch loss=0.604051
Batch=1139, step=19140, lr=0.120500, batch loss=0.023583, epoch loss=0.627634
Batch=1199, step=19200, lr=0.120250, batch loss=0.009201, epoch loss=0.636835
Epoch=15, step=19200, lr=0.120250, epoch loss=0.636835
Batch=59, step=19260, lr=0.120000, batch loss=0.004730, epoch loss=0.004730
Batch=119, step=19320, lr=0.119750, batch loss=0.019952, epoch loss=0.024682
Batch=179, step=19380, lr=0.119500, batch loss=0.053567, epoch loss=0.078250
Batch=239, step=19440, lr=0.119250, batch loss=0.024997, epoch loss=0.103247
Batch=299, step=19500, lr=0.119000, batch loss=0.014756, epoch loss=0.118003
Batch=359, step=19560, lr=0.118750, batch loss=0.035690, epoch loss=0.153693
Batch=419, step=19620, lr=0.118500, batch loss=0.021146, epoch loss=0.174839
Batch=479, step=19680, lr=0.118250, batch loss=0.007838, epoch loss=0.182677
Batch=539, step=19740, lr=0.118000, batch loss=0.019947, epoch loss=0.202624
Batch=599, step=19800, lr=0.117750, batch loss=0.024664, epoch loss=0.227288
Batch=659, step=19860, lr=0.117500, batch loss=0.020420, epoch loss=0.247708
Batch=719, step=19920, lr=0.117250, batch loss=0.040694, epoch loss=0.288401
Batch=779, step=19980, lr=0.117000, batch loss=0.079124, epoch loss=0.367525
Batch=839, step=20040, lr=0.116750, batch loss=0.031764, epoch loss=0.399289
Batch=899, step=20100, lr=0.116500, batch loss=0.031951, epoch loss=0.431239
Batch=959, step=20160, lr=0.116250, batch loss=0.011047, epoch loss=0.442287
Batch=1019, step=20220, lr=0.116000, batch loss=0.013444, epoch loss=0.455731
Batch=1079, step=20280, lr=0.115750, batch loss=0.003479, epoch loss=0.459210
Batch=1139, step=20340, lr=0.115500, batch loss=0.015098, epoch loss=0.474308
Batch=1199, step=20400, lr=0.115250, batch loss=0.005833, epoch loss=0.480141
Epoch=16, step=20400, lr=0.115250, epoch loss=0.480141
Batch=59, step=20460, lr=0.115000, batch loss=0.002881, epoch loss=0.002881
Batch=119, step=20520, lr=0.114750, batch loss=0.009719, epoch loss=0.012600
Batch=179, step=20580, lr=0.114500, batch loss=0.022797, epoch loss=0.035397
Batch=239, step=20640, lr=0.114250, batch loss=0.016104, epoch loss=0.051501
Batch=299, step=20700, lr=0.114000, batch loss=0.004449, epoch loss=0.055950
Batch=359, step=20760, lr=0.113750, batch loss=0.013976, epoch loss=0.069926
Batch=419, step=20820, lr=0.113500, batch loss=0.014544, epoch loss=0.084470
Batch=479, step=20880, lr=0.113250, batch loss=0.004661, epoch loss=0.089132
Batch=539, step=20940, lr=0.113000, batch loss=0.015554, epoch loss=0.104686
Batch=599, step=21000, lr=0.112750, batch loss=0.018336, epoch loss=0.123021
Batch=659, step=21060, lr=0.112500, batch loss=0.016272, epoch loss=0.139293
Batch=719, step=21120, lr=0.112250, batch loss=0.038773, epoch loss=0.178066
Batch=779, step=21180, lr=0.112000, batch loss=0.064725, epoch loss=0.242791
Batch=839, step=21240, lr=0.111750, batch loss=0.025642, epoch loss=0.268433
Batch=899, step=21300, lr=0.111500, batch loss=0.027464, epoch loss=0.295897
Batch=959, step=21360, lr=0.111250, batch loss=0.010383, epoch loss=0.306280
Batch=1019, step=21420, lr=0.111000, batch loss=0.010031, epoch loss=0.316311
Batch=1079, step=21480, lr=0.110750, batch loss=0.001840, epoch loss=0.318151
Batch=1139, step=21540, lr=0.110500, batch loss=0.012607, epoch loss=0.330758
Batch=1199, step=21600, lr=0.110250, batch loss=0.005022, epoch loss=0.335780
Epoch=17, step=21600, lr=0.110250, epoch loss=0.335780
Batch=59, step=21660, lr=0.110000, batch loss=0.002292, epoch loss=0.002292
Batch=119, step=21720, lr=0.109750, batch loss=0.006645, epoch loss=0.008937
Batch=179, step=21780, lr=0.109500, batch loss=0.012749, epoch loss=0.021686
Batch=239, step=21840, lr=0.109250, batch loss=0.010195, epoch loss=0.031881
Batch=299, step=21900, lr=0.109000, batch loss=0.002103, epoch loss=0.033984
Batch=359, step=21960, lr=0.108750, batch loss=0.011102, epoch loss=0.045086
Batch=419, step=22020, lr=0.108500, batch loss=0.011797, epoch loss=0.056883
Batch=479, step=22080, lr=0.108250, batch loss=0.003163, epoch loss=0.060046
Batch=539, step=22140, lr=0.108000, batch loss=0.018221, epoch loss=0.078267
Batch=599, step=22200, lr=0.107750, batch loss=0.016599, epoch loss=0.094866
Batch=659, step=22260, lr=0.107500, batch loss=0.015101, epoch loss=0.109966
Batch=719, step=22320, lr=0.107250, batch loss=0.025955, epoch loss=0.135922
Batch=779, step=22380, lr=0.107000, batch loss=0.036193, epoch loss=0.172115
Batch=839, step=22440, lr=0.106750, batch loss=0.025791, epoch loss=0.197906
Batch=899, step=22500, lr=0.106500, batch loss=0.026876, epoch loss=0.224782
Batch=959, step=22560, lr=0.106250, batch loss=0.009331, epoch loss=0.234113
Batch=1019, step=22620, lr=0.106000, batch loss=0.008498, epoch loss=0.242612
Batch=1079, step=22680, lr=0.105750, batch loss=0.000927, epoch loss=0.243539
Batch=1139, step=22740, lr=0.105500, batch loss=0.010306, epoch loss=0.253845
Batch=1199, step=22800, lr=0.105250, batch loss=0.004738, epoch loss=0.258583
Epoch=18, step=22800, lr=0.105250, epoch loss=0.258583
Batch=59, step=22860, lr=0.105000, batch loss=0.002052, epoch loss=0.002052
Batch=119, step=22920, lr=0.104750, batch loss=0.005487, epoch loss=0.007539
Batch=179, step=22980, lr=0.104500, batch loss=0.010356, epoch loss=0.017895
Batch=239, step=23040, lr=0.104250, batch loss=0.009996, epoch loss=0.027891
Batch=299, step=23100, lr=0.104000, batch loss=0.010494, epoch loss=0.038385
Batch=359, step=23160, lr=0.103750, batch loss=0.011785, epoch loss=0.050170
Batch=419, step=23220, lr=0.103500, batch loss=0.010629, epoch loss=0.060799
Batch=479, step=23280, lr=0.103250, batch loss=0.002821, epoch loss=0.063620
Batch=539, step=23340, lr=0.103000, batch loss=0.017330, epoch loss=0.080951
Batch=599, step=23400, lr=0.102750, batch loss=0.013725, epoch loss=0.094675
Batch=659, step=23460, lr=0.102500, batch loss=0.011331, epoch loss=0.106006
Batch=719, step=23520, lr=0.102250, batch loss=0.011756, epoch loss=0.117763
Batch=779, step=23580, lr=0.102000, batch loss=0.017503, epoch loss=0.135266
Batch=839, step=23640, lr=0.101750, batch loss=0.028604, epoch loss=0.163870
Batch=899, step=23700, lr=0.101500, batch loss=0.020779, epoch loss=0.184648
Batch=959, step=23760, lr=0.101250, batch loss=0.009681, epoch loss=0.194330
Batch=1019, step=23820, lr=0.101000, batch loss=0.007487, epoch loss=0.201817
Batch=1079, step=23880, lr=0.100750, batch loss=0.001084, epoch loss=0.202901
Batch=1139, step=23940, lr=0.100500, batch loss=0.008821, epoch loss=0.211722
Batch=1199, step=24000, lr=0.100250, batch loss=0.004504, epoch loss=0.216226
Epoch=19, step=24000, lr=0.100250, epoch loss=0.216226


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 22:36.40 ---> saved as "a644a108d7f375e1cefc7c0a7c570092b15e7d4564915cf558d7435e8f5834fe"
Job succeeded
2025-03-20 22:36.41: Job succeeded