Organisationsahrefsocannld63fdf ()ubuntu-24.04-5.3_opam-2.3

ubuntu-24.04-5.3_opam-2.3

Link Copied
Code Copied

Logs

2025-03-21 13:23.09: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (d63fdf0da2bdea174a1f4139e51107496c5013e8) (linux-x86_64:ubuntu-24.04-5.3_opam-2.3)
Base: ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard d63fdf0d
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667
# ubuntu-24.04-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


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


2025-03-21 13:23.09: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667-ubuntu-24.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-21 13:23.09: Using OBuilder spec:
((from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667)
(comment ubuntu-24.04-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-03-21 13:23.09: Waiting for resource in pool OCluster
2025-03-21 13:23.09: Waiting for worker…
2025-03-21 13:26.12: Got resource from pool OCluster
Building on phoebe.caelum.ci.dev
All commits already cached
HEAD is now at d63fdf0d Expose and test the new unary ops


(from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667)
2025-03-21 13:26.13 ---> using "06e5d68c33d07ab80561193cb9f567604be8657f4b8b2bd2350d9ec652b4b76c" from cache


/: (comment ubuntu-24.04-5.3_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-21 13:26.13 ---> using "4ba640804fd0c313d80c46d7ebb2f0c45a6a2eb022d24aeae0e9f67320311f6c" 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.


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 255 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=255 --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
2025-03-21 13:26.13 ---> using "817c358501a2607fadc6719ecbafb475a48c910f209ff3da9e21aaa855325614" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-03-21 13:26.13 ---> using "7f82dcfd35c4e2cf8aa5e76ee6aca5ea8364dcbab9135497913706dfb96d17ef" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 13:26.13 ---> using "5db640b718b7589bfd0e01928944cc167286bc3fb99a3d4166082413d7a743af" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
862a7640b1..6cf83229dd  master     -> origin/master
4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0


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


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-03-21 13:26.13 ---> using "b9f37d815f22fb30aebedebbf7f4a18bd92084680e1060eb9cd0e2127e7bb900" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 13:26.13 ---> using "940d474abf2849215e847200ba064d0fc61355e3af095775ce641679542dce8a" 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)
2025-03-21 13:26.13 ---> using "bf7ed5143891e6898c32547d9d05a2f8eab0d2d7bd65edee61534692dfeea77d" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 13:26.13 ---> using "ee723431bb7c77d4113dc23cf793f897c44132a8bbfa0d041394a281878b0552" from cache


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


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apt-get" "update"
- Get:1 http://security.ubuntu.com/ubuntu noble-security InRelease [126 kB]
- Get:2 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Packages [1060 kB]
- Hit:3 http://archive.ubuntu.com/ubuntu noble InRelease
- Get:4 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Packages [916 kB]
- Get:5 http://security.ubuntu.com/ubuntu noble-security/main amd64 Packages [845 kB]
- Get:6 http://archive.ubuntu.com/ubuntu noble-updates InRelease [126 kB]
- Get:7 http://archive.ubuntu.com/ubuntu noble-backports InRelease [126 kB]
- Get:8 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 Packages [1171 kB]
- Get:9 http://archive.ubuntu.com/ubuntu noble-updates/restricted amd64 Packages [962 kB]
- Get:10 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 Packages [1351 kB]
- Get:11 http://archive.ubuntu.com/ubuntu noble-backports/universe amd64 Packages [16.5 kB]
- Fetched 6698 kB in 1s (6068 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-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).


The following system packages will first need to be installed:
libffi-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 libpkgconf3: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 ... 16365 files and directories currently installed.)
- Preparing to unpack .../libpkgconf3_1.8.1-2build1_amd64.deb ...
- Unpacking libpkgconf3:amd64 (1.8.1-2build1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../pkgconf-bin_1.8.1-2build1_amd64.deb ...
- Unpacking pkgconf-bin (1.8.1-2build1) ...
- Selecting previously unselected package pkgconf:amd64.
- Preparing to unpack .../pkgconf_1.8.1-2build1_amd64.deb ...
- Unpacking pkgconf:amd64 (1.8.1-2build1) ...
- Selecting previously unselected package pkg-config:amd64.
- Preparing to unpack .../pkg-config_1.8.1-2build1_amd64.deb ...
- Unpacking pkg-config:amd64 (1.8.1-2build1) ...
- Selecting previously unselected package libffi-dev:amd64.
- Preparing to unpack .../libffi-dev_3.4.6-1build1_amd64.deb ...
- Unpacking libffi-dev:amd64 (3.4.6-1build1) ...
- Setting up libffi-dev:amd64 (3.4.6-1build1) ...
- Setting up libpkgconf3:amd64 (1.8.1-2build1) ...
- Setting up pkgconf-bin (1.8.1-2build1) ...
- Setting up pkgconf:amd64 (1.8.1-2build1) ...
- Setting up pkg-config:amd64 (1.8.1-2build1) ...
- Processing triggers for libc-bin (2.39-0ubuntu8.4) ...
2025-03-21 13:26.13 ---> using "3c2bd7aecb5c86d840b9a63a5f3bc860e8a6e04dcc0a33d6be3a9b3e19f4539f" 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-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 65 packages
- install angstrom                0.16.1
- install backoff                 0.1.1
- install base                    v0.17.1
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- install conf-libffi             2.0.0
- install conf-pkg-config         4
- install cppo                    1.8.0
- install csexp                   1.5.2
- install ctypes                  0.23.0
- install ctypes-foreign          0.23.0
- install dune                    3.17.2
- install dune-configurator       3.17.2
- install fieldslib               v0.17.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install mtime                   2.1.0
- install multicore-magic         2.3.1
- install num                     1.5-1
- install ocaml-compiler-libs     v0.17.0
- install ocaml-syntax-shims      1.0.0
- install ocaml_intrinsics_kernel v0.17.1
- install ocamlbuild              0.16.1
- install ocamlfind               1.9.8
- install parsexp                 v0.17.0
- install ppx_assert              v0.17.0
- install ppx_base                v0.17.0
- install ppx_cold                v0.17.0
- install ppx_compare             v0.17.0
- install ppx_derivers            1.2.1
- install ppx_deriving            6.0.3
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.2
- install ppx_fields_conv         v0.17.0
- install ppx_globalize           v0.17.0
- install ppx_hash                v0.17.0
- install ppx_here                v0.17.0
- install ppx_inline_test         v0.17.0
- install ppx_minidebug           2.1.0
- install ppx_optcomp             v0.17.0
- install ppx_sexp_conv           v0.17.0
- install ppx_string              v0.17.0
- install ppx_variants_conv       v0.17.0
- install ppxlib                  0.35.0
- install ppxlib_jane             v0.17.2
- install printbox                0.12
- install printbox-ext-plot       0.12
- install printbox-html           0.12
- install printbox-md             0.12
- install printbox-text           0.12
- install ptime                   1.2.0
- install re                      1.12.0
- install saturn_lockfree         0.5.0
- install seq                     base
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.3.0
- install time_now                v0.17.0
- install topkg                   1.0.8
- install tyxml                   4.6.0
- install uucp                    16.0.0
- install uutf                    1.0.4
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved 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_here.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved ptime.1.2.0  (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 ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed printbox.0.12
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed ocaml-syntax-shims.1.0.0
-> installed cppo.1.8.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed re.1.12.0
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.17.2
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed base.v0.17.1
-> installed printbox-md.0.12
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed printbox-ext-plot.0.12
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_compare.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-21 13:26.13 ---> using "84d9a5630f01f5c5f0932552692517a76658d4c0015cf15daedc762eeca56a2d" from cache


/src: (copy (src .) (dst /src))
2025-03-21 13:26.13 ---> saved as "10d5710a3eee41eca135b15287a8c0b1ddd430581e3eea32cf8f8c976f52d52c"


/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/6283e054cf7fbb174d8bf7a195b85d7a/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/6283e054cf7fbb174d8bf7a195b85d7a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6283e054cf7fbb174d8bf7a195b85d7a/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/1fa8c0f7f62a57067d17457103de2724/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/6283e054cf7fbb174d8bf7a195b85d7a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6283e054cf7fbb174d8bf7a195b85d7a/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/6283e054cf7fbb174d8bf7a195b85d7a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6283e054cf7fbb174d8bf7a195b85d7a/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/6283e054cf7fbb174d8bf7a195b85d7a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6283e054cf7fbb174d8bf7a195b85d7a/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/6283e054cf7fbb174d8bf7a195b85d7a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6283e054cf7fbb174d8bf7a195b85d7a/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/6283e054cf7fbb174d8bf7a195b85d7a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6283e054cf7fbb174d8bf7a195b85d7a/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/6283e054cf7fbb174d8bf7a195b85d7a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6283e054cf7fbb174d8bf7a195b85d7a/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/6283e054cf7fbb174d8bf7a195b85d7a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6283e054cf7fbb174d8bf7a195b85d7a/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/6283e054cf7fbb174d8bf7a195b85d7a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6283e054cf7fbb174d8bf7a195b85d7a/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/6283e054cf7fbb174d8bf7a195b85d7a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/primitive_ops.ml", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/primitive_ops.ml _build/.sandbox/6283e054cf7fbb174d8bf7a195b85d7a/default/test/primitive_ops.ml.corrected
diff --git a/_build/default/test/primitive_ops.ml b/_build/.sandbox/6283e054cf7fbb174d8bf7a195b85d7a/default/test/primitive_ops.ml.corrected
index 18fb8fd..4dd32f4 100644
--- a/_build/default/test/primitive_ops.ml
+++ b/_build/.sandbox/6283e054cf7fbb174d8bf7a195b85d7a/default/test/primitive_ops.ml.corrected
@@ -534,48 +534,48 @@ let%expect_test "sqrt(x)" =
[%expect
{|
┌─────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐
-    │ inf │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │f    │                                                                                                    │
-    │(    │                                                                                                    │
-    │x    │                                                                                                    │
-    │)    │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │ 0.00│*************************-*************** ********-******************************* **** *******-****│
+    │ 2.23│                                                                                                   #│
+    │     │                                                                                              ##### │
+    │     │                                                                                         #####      │
+    │     │                                                                                     ####           │
+    │     │                                                                                ## ##               │
+    │     │                                                                           #####                    │
+    │     │                                                                       ####                         │
+    │     │                                                                  #####                             │
+    │     │                                                              ####                                  │
+    │     │                                                          ## #                                      │
+    │     │                                                      # ##                                          │
+    │     │                                                   ###                                              │
+    │     │*                                              ####                                                 │
+    │     │                                           ####                                                     │
+    │     │                                        # #                                                         │
+    │     │                                     ###                                                            │
+    │     │                                  ###                                                               │
+    │     │ *                             ###                                                                  │
+    │f    │                            ##                                                                      │
+    │(    │                         ###                                                                        │
+    │x    │  *                   ###                                                                           │
+    │)    │                    ##                                                                              │
+    │     │   *              ##                                                                                │
+    │     │              # ##                                                                                  │
+    │     │    *        ##                                                                                     │
+    │     │     *     ##                                                                                       │
+    │     │      **  #                                                                                         │
+    │     │        *#                                                                                          │
+    │     │       # **                                                                                         │
+    │     │     ##    ***                                                                                      │
+    │     │    #         * *                                                                                   │
+    │     │   #             *****                                                                              │
+    │     │  #                   ********                                                                      │
+    │     │ #                           * **********                                                           │
+    │     │#                                       * ************* ****                                        │
+    │     │                                                           * ********************* ************     │
+    │     │                                                                                               *****│
+    │     │                                                                                                    │
+    │     │                                                                                                    │
+    │ 0.00│-    -    -    -    -    -    -    -    -    -    -    -    -    -    -    -    -    -    -    -    │
├─────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤
-    │     │0.00                                                                                            5.00│
+    │     │1.00e-1                                                                                         5.00│
│     │                                                 x                                                  │
└─────┴────────────────────────────────────────────────────────────────────────────────────────────────────┘
|}]
@@ -585,7 +585,35 @@ let%expect_test "recip(x)" =
let plot_box = plot_unop ~f ~x_min:0.1 ~x_max:5.0 () in
PrintBox_text.output Stdio.stdout plot_box;
(* FIXME: There's is a bug here in the shape inference. *)
-  [%expect {||}]
+  [%expect.unreachable]
+[@@expect.uncaught_exn {|
+  (* CR expect_test_collector: This test expectation appears to contain a backtrace.
+     This is strongly discouraged as backtraces are fragile.
+     Please change this test to not include a backtrace. *)
+  (lib/shape.ml.Shape_error "Too many axes in a subtensor"
+    ((Row_mismatch
+       ((dims ()) (bcast Broadcastable) (id ((sh_id 8) (kind Input))))
+       ((dims ((Var ((id 166) (label ())))))
+         (bcast (Row_var (v (Row_var 167)) (beg_dims ())))
+         (id ((sh_id 7) (kind Output)))))))
+  Raised at Ocannl__Row.solve_row_ineq in file "lib/row.ml", line 1087, characters 6-91
+  Re-raised at Ocannl__Row.solve_row_ineq in file "lib/row.ml", lines 919-1151, characters 31-44
+  Called from Ocannl__Row.solve_inequalities.solve.f in file "lib/row.ml", line 1293, characters 32-68
+  Called from Base__List0.fold in file "src/list0.ml", line 43, characters 27-37
+  Called from Ocannl__Row.solve_inequalities.solve in file "lib/row.ml", line 1323, characters 22-56
+  Re-raised at Ocannl__Row.solve_inequalities.solve in file "lib/row.ml", lines 1276-1329, characters 16-25
+  Called from Ocannl__Row.solve_inequalities in file "lib/row.ml", line 1332, characters 50-65
+  Re-raised at Ocannl__Row.solve_inequalities in file "lib/row.ml", lines 1274-1355, characters 35-44
+  Called from Ocannl__Shape.propagate_shapes in file "lib/shape.ml", line 609, characters 20-73
+  Re-raised at Ocannl__Shape.propagate_shapes in file "lib/shape.ml", lines 602-612, characters 33-14
+  Called from Base__List0.iter in file "src/list0.ml", line 66, characters 4-7
+  Called from Ocannl__Tensor.op in file "lib/tensor.ml", line 197, characters 2-57
+  Called from Ocannl__Operation.recip.(fun) in file "lib/operation.ml", line 250, characters 53-69
+  Called from Ocannl__Tensor.op in file "lib/tensor.ml", line 265, characters 38-65
+  Called from Tutorials__Primitive_ops.plot_unop in file "test/primitive_ops.ml", line 32, characters 14-17
+  Called from Tutorials__Primitive_ops.(fun) in file "test/primitive_ops.ml", line 585, characters 17-54
+  Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28
+  |}]


let%expect_test "recip_sqrt(x)" =
let%op f x = recip_sqrt x in
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190000, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190000, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230397, epoch loss=0.230397
Batch=119, step=2520, lr=0.189750, batch loss=0.195929, epoch loss=0.426326
Batch=179, step=2580, lr=0.189500, batch loss=0.221169, epoch loss=0.647495
Batch=239, step=2640, lr=0.189250, batch loss=0.328094, epoch loss=0.975589
Batch=299, step=2700, lr=0.189000, batch loss=0.202927, epoch loss=1.178517
Batch=359, step=2760, lr=0.188750, batch loss=0.288273, epoch loss=1.466790
Batch=419, step=2820, lr=0.188500, batch loss=0.280172, epoch loss=1.746962
Batch=479, step=2880, lr=0.188250, batch loss=0.251464, epoch loss=1.998425
Batch=539, step=2940, lr=0.188000, batch loss=0.191278, epoch loss=2.189703
Batch=599, step=3000, lr=0.187500, batch loss=0.224969, epoch loss=2.414673
Batch=659, step=3060, lr=0.187500, batch loss=0.335755, epoch loss=2.750428
Batch=719, step=3120, lr=0.187250, batch loss=0.331425, epoch loss=3.081853
Batch=779, step=3180, lr=0.187000, batch loss=0.357891, epoch loss=3.439744
Batch=839, step=3240, lr=0.186750, batch loss=0.325635, epoch loss=3.765380
Batch=899, step=3300, lr=0.186500, batch loss=0.292323, epoch loss=4.057703
Batch=959, step=3360, lr=0.186250, batch loss=0.245017, epoch loss=4.302720
Batch=1019, step=3420, lr=0.186000, batch loss=0.361838, epoch loss=4.664558
Batch=1079, step=3480, lr=0.185750, batch loss=0.222118, epoch loss=4.886676
Batch=1139, step=3540, lr=0.185500, batch loss=0.264008, epoch loss=5.150684
Batch=1199, step=3600, lr=0.185250, batch loss=0.199957, epoch loss=5.350641
Epoch=2, step=3600, lr=0.185250, epoch loss=5.350641
Batch=59, step=3660, lr=0.185000, batch loss=0.221234, epoch loss=0.221234
Batch=119, step=3720, lr=0.184750, batch loss=0.184948, epoch loss=0.406181
Batch=179, step=3780, lr=0.184500, batch loss=0.211388, epoch loss=0.617569
Batch=239, step=3840, lr=0.184250, batch loss=0.316970, epoch loss=0.934539
Batch=299, step=3900, lr=0.184000, batch loss=0.209181, epoch loss=1.143720
Batch=359, step=3960, lr=0.183750, batch loss=0.285665, epoch loss=1.429385
Batch=419, step=4020, lr=0.183500, batch loss=0.278223, epoch loss=1.707609
Batch=479, step=4080, lr=0.183250, batch loss=0.255003, epoch loss=1.962612
Batch=539, step=4140, lr=0.183000, batch loss=0.199920, epoch loss=2.162532
Batch=599, step=4200, lr=0.182750, batch loss=0.242692, epoch loss=2.405225
Batch=659, step=4260, lr=0.182500, batch loss=0.327727, epoch loss=2.732951
Batch=719, step=4320, lr=0.182250, batch loss=0.330886, epoch loss=3.063837
Batch=779, step=4380, lr=0.182000, batch loss=0.349702, epoch loss=3.413539
Batch=839, step=4440, lr=0.181750, batch loss=0.317869, epoch loss=3.731408
Batch=899, step=4500, lr=0.181500, batch loss=0.285716, epoch loss=4.017124
Batch=959, step=4560, lr=0.181250, batch loss=0.239741, epoch loss=4.256865
Batch=1019, step=4620, lr=0.181000, batch loss=0.332889, epoch loss=4.589754
Batch=1079, step=4680, lr=0.180750, batch loss=0.195835, epoch loss=4.785588
Batch=1139, step=4740, lr=0.180250, batch loss=0.229026, epoch loss=5.014615
Batch=1199, step=4800, lr=0.180250, batch loss=0.193314, epoch loss=5.207928
Epoch=3, step=4800, lr=0.180250, epoch loss=5.207928
Batch=59, step=4860, lr=0.179750, batch loss=0.234170, epoch loss=0.234170
Batch=119, step=4920, lr=0.179750, batch loss=0.191977, epoch loss=0.426148
Batch=179, step=4980, lr=0.179500, batch loss=0.205727, epoch loss=0.631874
Batch=239, step=5040, lr=0.179250, batch loss=0.307586, epoch loss=0.939460
Batch=299, step=5100, lr=0.178750, batch loss=0.205893, epoch loss=1.145353
Batch=359, step=5160, lr=0.178750, batch loss=0.270795, epoch loss=1.416148
Batch=419, step=5220, lr=0.178500, batch loss=0.265477, epoch loss=1.681625
Batch=479, step=5280, lr=0.178250, batch loss=0.242013, epoch loss=1.923638
Batch=539, step=5340, lr=0.178000, batch loss=0.195146, epoch loss=2.118784
Batch=599, step=5400, lr=0.177750, batch loss=0.243564, epoch loss=2.362348
Batch=659, step=5460, lr=0.177500, batch loss=0.317049, epoch loss=2.679398
Batch=719, step=5520, lr=0.177250, batch loss=0.317770, epoch loss=2.997167
Batch=779, step=5580, lr=0.177000, batch loss=0.343108, epoch loss=3.340275
Batch=839, step=5640, lr=0.176750, batch loss=0.308255, epoch loss=3.648530
Batch=899, step=5700, lr=0.176500, batch loss=0.273803, epoch loss=3.922333
Batch=959, step=5760, lr=0.176000, batch loss=0.210823, epoch loss=4.133156
Batch=1019, step=5820, lr=0.176000, batch loss=0.338487, epoch loss=4.471643
Batch=1079, step=5880, lr=0.175750, batch loss=0.201625, epoch loss=4.673267
Batch=1139, step=5940, lr=0.175250, batch loss=0.242864, epoch loss=4.916132
Batch=1199, step=6000, lr=0.175000, batch loss=0.185379, epoch loss=5.101511
Epoch=4, step=6000, lr=0.175000, epoch loss=5.101511
Batch=59, step=6060, lr=0.175000, batch loss=0.226440, epoch loss=0.226440
Batch=119, step=6120, lr=0.174750, batch loss=0.184027, epoch loss=0.410467
Batch=179, step=6180, lr=0.174500, batch loss=0.201394, epoch loss=0.611861
Batch=239, step=6240, lr=0.174250, batch loss=0.301276, epoch loss=0.913137
Batch=299, step=6300, lr=0.174000, batch loss=0.205675, epoch loss=1.118813
Batch=359, step=6360, lr=0.173750, batch loss=0.264965, epoch loss=1.383778
Batch=419, step=6420, lr=0.173500, batch loss=0.261296, epoch loss=1.645074
Batch=479, step=6480, lr=0.173250, batch loss=0.241245, epoch loss=1.886319
Batch=539, step=6540, lr=0.173000, batch loss=0.196232, epoch loss=2.082550
Batch=599, step=6600, lr=0.172750, batch loss=0.232427, epoch loss=2.314977
Batch=659, step=6660, lr=0.172500, batch loss=0.313565, epoch loss=2.628542
Batch=719, step=6720, lr=0.172250, batch loss=0.316701, epoch loss=2.945243
Batch=779, step=6780, lr=0.172000, batch loss=0.330867, epoch loss=3.276110
Batch=839, step=6840, lr=0.171750, batch loss=0.306327, epoch loss=3.582438
Batch=899, step=6900, lr=0.171500, batch loss=0.268556, epoch loss=3.850993
Batch=959, step=6960, lr=0.171250, batch loss=0.207692, epoch loss=4.058685
Batch=1019, step=7020, lr=0.171000, batch loss=0.331412, epoch loss=4.390098
Batch=1079, step=7080, lr=0.170750, batch loss=0.180698, epoch loss=4.570796
Batch=1139, step=7140, lr=0.170500, batch loss=0.216841, epoch loss=4.787637
Batch=1199, step=7200, lr=0.170250, batch loss=0.182243, epoch loss=4.969880
Epoch=5, step=7200, lr=0.170250, epoch loss=4.969880
Batch=59, step=7260, lr=0.170000, batch loss=0.240198, epoch loss=0.240198
Batch=119, step=7320, lr=0.169750, batch loss=0.179731, epoch loss=0.419929
Batch=179, step=7380, lr=0.169250, batch loss=0.195238, epoch loss=0.615167
Batch=239, step=7440, lr=0.169250, batch loss=0.292274, epoch loss=0.907441
Batch=299, step=7500, lr=0.169000, batch loss=0.207854, epoch loss=1.115294
Batch=359, step=7560, lr=0.168750, batch loss=0.261280, epoch loss=1.376574
Batch=419, step=7620, lr=0.168500, batch loss=0.253849, epoch loss=1.630424
Batch=479, step=7680, lr=0.168250, batch loss=0.232206, epoch loss=1.862630
Batch=539, step=7740, lr=0.168000, batch loss=0.185222, epoch loss=2.047851
Batch=599, step=7800, lr=0.167750, batch loss=0.227518, epoch loss=2.275369
Batch=659, step=7860, lr=0.167500, batch loss=0.304084, epoch loss=2.579453
Batch=719, step=7920, lr=0.167250, batch loss=0.308467, epoch loss=2.887920
Batch=779, step=7980, lr=0.167000, batch loss=0.325008, epoch loss=3.212928
Batch=839, step=8040, lr=0.166750, batch loss=0.293997, epoch loss=3.506925
Batch=899, step=8100, lr=0.166500, batch loss=0.261071, epoch loss=3.767996
Batch=959, step=8160, lr=0.166250, batch loss=0.202818, epoch loss=3.970814
Batch=1019, step=8220, lr=0.166000, batch loss=0.321446, epoch loss=4.292260
Batch=1079, step=8280, lr=0.165750, batch loss=0.184366, epoch loss=4.476626
Batch=1139, step=8340, lr=0.165500, batch loss=0.213481, epoch loss=4.690107
Batch=1199, step=8400, lr=0.165250, batch loss=0.172102, epoch loss=4.862210
Epoch=6, step=8400, lr=0.165250, epoch loss=4.862210
Batch=59, step=8460, lr=0.165000, batch loss=0.210648, epoch loss=0.210648
Batch=119, step=8520, lr=0.164750, batch loss=0.172773, epoch loss=0.383421
Batch=179, step=8580, lr=0.164500, batch loss=0.187793, epoch loss=0.571214
Batch=239, step=8640, lr=0.164250, batch loss=0.276862, epoch loss=0.848076
Batch=299, step=8700, lr=0.164000, batch loss=0.192513, epoch loss=1.040589
Batch=359, step=8760, lr=0.163750, batch loss=0.249426, epoch loss=1.290015
Batch=419, step=8820, lr=0.163500, batch loss=0.243881, epoch loss=1.533896
Batch=479, step=8880, lr=0.163250, batch loss=0.229517, epoch loss=1.763413
Batch=539, step=8940, lr=0.163000, batch loss=0.176887, epoch loss=1.940300
Batch=599, step=9000, lr=0.162750, batch loss=0.218932, epoch loss=2.159232
Batch=659, step=9060, lr=0.162500, batch loss=0.293216, epoch loss=2.452449
Batch=719, step=9120, lr=0.162250, batch loss=0.297394, epoch loss=2.749842
Batch=779, step=9180, lr=0.162000, batch loss=0.314189, epoch loss=3.064032
Batch=839, step=9240, lr=0.161750, batch loss=0.281842, epoch loss=3.345874
Batch=899, step=9300, lr=0.161500, batch loss=0.252403, epoch loss=3.598278
Batch=959, step=9360, lr=0.161250, batch loss=0.187632, epoch loss=3.785910
Batch=1019, step=9420, lr=0.161000, batch loss=0.318548, epoch loss=4.104458
Batch=1079, step=9480, lr=0.160750, batch loss=0.184807, epoch loss=4.289264
Batch=1139, step=9540, lr=0.160500, batch loss=0.207332, epoch loss=4.496596
Batch=1199, step=9600, lr=0.160250, batch loss=0.166120, epoch loss=4.662716
Epoch=7, step=9600, lr=0.160250, epoch loss=4.662716
Batch=59, step=9660, lr=0.159750, batch loss=0.200748, epoch loss=0.200748
Batch=119, step=9720, lr=0.159750, batch loss=0.162740, epoch loss=0.363489
Batch=179, step=9780, lr=0.159500, batch loss=0.178708, epoch loss=0.542197
Batch=239, step=9840, lr=0.159250, batch loss=0.260260, epoch loss=0.802456
Batch=299, step=9900, lr=0.159000, batch loss=0.178614, epoch loss=0.981070
Batch=359, step=9960, lr=0.158750, batch loss=0.233895, epoch loss=1.214965
Batch=419, step=10020, lr=0.158500, batch loss=0.230679, epoch loss=1.445644
Batch=479, step=10080, lr=0.158250, batch loss=0.212605, epoch loss=1.658249
Batch=539, step=10140, lr=0.158000, batch loss=0.170824, epoch loss=1.829073
Batch=599, step=10200, lr=0.157750, batch loss=0.200923, epoch loss=2.029996
Batch=659, step=10260, lr=0.157500, batch loss=0.280818, epoch loss=2.310814
Batch=719, step=10320, lr=0.157250, batch loss=0.279072, epoch loss=2.589886
Batch=779, step=10380, lr=0.157000, batch loss=0.299417, epoch loss=2.889302
Batch=839, step=10440, lr=0.156750, batch loss=0.270475, epoch loss=3.159777
Batch=899, step=10500, lr=0.156500, batch loss=0.239613, epoch loss=3.399390
Batch=959, step=10560, lr=0.156250, batch loss=0.197733, epoch loss=3.597123
Batch=1019, step=10620, lr=0.156000, batch loss=0.277149, epoch loss=3.874272
Batch=1079, step=10680, lr=0.155750, batch loss=0.150615, epoch loss=4.024888
Batch=1139, step=10740, lr=0.155500, batch loss=0.180085, epoch loss=4.204972
Batch=1199, step=10800, lr=0.155250, batch loss=0.163820, epoch loss=4.368793
Epoch=8, step=10800, lr=0.155250, epoch loss=4.368793
Batch=59, step=10860, lr=0.155000, batch loss=0.192635, epoch loss=0.192635
Batch=119, step=10920, lr=0.154750, batch loss=0.162857, epoch loss=0.355492
Batch=179, step=10980, lr=0.154500, batch loss=0.165636, epoch loss=0.521129
Batch=239, step=11040, lr=0.154250, batch loss=0.242861, epoch loss=0.763990
Batch=299, step=11100, lr=0.154000, batch loss=0.165695, epoch loss=0.929684
Batch=359, step=11160, lr=0.153750, batch loss=0.222801, epoch loss=1.152485
Batch=419, step=11220, lr=0.153500, batch loss=0.229265, epoch loss=1.381750
Batch=479, step=11280, lr=0.153250, batch loss=0.202444, epoch loss=1.584194
Batch=539, step=11340, lr=0.153000, batch loss=0.160719, epoch loss=1.744913
Batch=599, step=11400, lr=0.152750, batch loss=0.184371, epoch loss=1.929284
Batch=659, step=11460, lr=0.152500, batch loss=0.262329, epoch loss=2.191613
Batch=719, step=11520, lr=0.152250, batch loss=0.249851, epoch loss=2.441464
Batch=779, step=11580, lr=0.152000, batch loss=0.268967, epoch loss=2.710431
Batch=839, step=11640, lr=0.151500, batch loss=0.255850, epoch loss=2.966281
Batch=899, step=11700, lr=0.151500, batch loss=0.231144, epoch loss=3.197425
Batch=959, step=11760, lr=0.151250, batch loss=0.167454, epoch loss=3.364878
Batch=1019, step=11820, lr=0.151000, batch loss=0.263431, epoch loss=3.628309
Batch=1079, step=11880, lr=0.150750, batch loss=0.148159, epoch loss=3.776469
Batch=1139, step=11940, lr=0.150500, batch loss=0.186959, epoch loss=3.963428
Batch=1199, step=12000, lr=0.150250, batch loss=0.138560, epoch loss=4.101988
Epoch=9, step=12000, lr=0.150250, epoch loss=4.101988
Batch=59, step=12060, lr=0.150000, batch loss=0.156783, epoch loss=0.156783
Batch=119, step=12120, lr=0.149750, batch loss=0.127038, epoch loss=0.283821
Batch=179, step=12180, lr=0.149500, batch loss=0.151457, epoch loss=0.435278
Batch=239, step=12240, lr=0.149250, batch loss=0.218340, epoch loss=0.653618
Batch=299, step=12300, lr=0.149000, batch loss=0.138824, epoch loss=0.792442
Batch=359, step=12360, lr=0.148500, batch loss=0.197127, epoch loss=0.989568
Batch=419, step=12420, lr=0.148500, batch loss=0.212945, epoch loss=1.202513
Batch=479, step=12480, lr=0.148250, batch loss=0.171754, epoch loss=1.374267
Batch=539, step=12540, lr=0.148000, batch loss=0.145330, epoch loss=1.519596
Batch=599, step=12600, lr=0.147500, batch loss=0.150828, epoch loss=1.670424
Batch=659, step=12660, lr=0.147500, batch loss=0.222550, epoch loss=1.892974
Batch=719, step=12720, lr=0.147250, batch loss=0.233031, epoch loss=2.126005
Batch=779, step=12780, lr=0.147000, batch loss=0.253004, epoch loss=2.379009
Batch=839, step=12840, lr=0.146500, batch loss=0.234522, epoch loss=2.613531
Batch=899, step=12900, lr=0.146500, batch loss=0.229430, epoch loss=2.842961
Batch=959, step=12960, lr=0.146250, batch loss=0.139761, epoch loss=2.982722
Batch=1019, step=13020, lr=0.146000, batch loss=0.218551, epoch loss=3.201273
Batch=1079, step=13080, lr=0.145750, batch loss=0.108178, epoch loss=3.309451
Batch=1139, step=13140, lr=0.145500, batch loss=0.147946, epoch loss=3.457397
Batch=1199, step=13200, lr=0.145250, batch loss=0.115596, epoch loss=3.572993
Epoch=10, step=13200, lr=0.145250, epoch loss=3.572993
Batch=59, step=13260, lr=0.145000, batch loss=0.133451, epoch loss=0.133451
Batch=119, step=13320, lr=0.144750, batch loss=0.110415, epoch loss=0.243866
Batch=179, step=13380, lr=0.144500, batch loss=0.126114, epoch loss=0.369981
Batch=239, step=13440, lr=0.144250, batch loss=0.182110, epoch loss=0.552091
Batch=299, step=13500, lr=0.144000, batch loss=0.119323, epoch loss=0.671413
Batch=359, step=13560, lr=0.143750, batch loss=0.162645, epoch loss=0.834058
Batch=419, step=13620, lr=0.143500, batch loss=0.166230, epoch loss=1.000288
Batch=479, step=13680, lr=0.143250, batch loss=0.147391, epoch loss=1.147679
Batch=539, step=13740, lr=0.143000, batch loss=0.116160, epoch loss=1.263839
Batch=599, step=13800, lr=0.142750, batch loss=0.119016, epoch loss=1.382855
Batch=659, step=13860, lr=0.142500, batch loss=0.175581, epoch loss=1.558436
Batch=719, step=13920, lr=0.142250, batch loss=0.171406, epoch loss=1.729842
Batch=779, step=13980, lr=0.142000, batch loss=0.177838, epoch loss=1.907680
Batch=839, step=14040, lr=0.141750, batch loss=0.202538, epoch loss=2.110218
Batch=899, step=14100, lr=0.141500, batch loss=0.218771, epoch loss=2.328989
Batch=959, step=14160, lr=0.141250, batch loss=0.100794, epoch loss=2.429783
Batch=1019, step=14220, lr=0.141000, batch loss=0.194975, epoch loss=2.624758
Batch=1079, step=14280, lr=0.140750, batch loss=0.079652, epoch loss=2.704410
Batch=1139, step=14340, lr=0.140500, batch loss=0.126409, epoch loss=2.830819
Batch=1199, step=14400, lr=0.140250, batch loss=0.084122, epoch loss=2.914941
Epoch=11, step=14400, lr=0.140250, epoch loss=2.914941
Batch=59, step=14460, lr=0.140000, batch loss=0.107974, epoch loss=0.107974
Batch=119, step=14520, lr=0.139750, batch loss=0.101758, epoch loss=0.209732
Batch=179, step=14580, lr=0.139500, batch loss=0.099059, epoch loss=0.308792
Batch=239, step=14640, lr=0.139250, batch loss=0.140258, epoch loss=0.449049
Batch=299, step=14700, lr=0.139000, batch loss=0.072553, epoch loss=0.521602
Batch=359, step=14760, lr=0.138750, batch loss=0.120947, epoch loss=0.642549
Batch=419, step=14820, lr=0.138500, batch loss=0.130583, epoch loss=0.773132
Batch=479, step=14880, lr=0.138250, batch loss=0.097492, epoch loss=0.870623
Batch=539, step=14940, lr=0.138000, batch loss=0.100302, epoch loss=0.970925
Batch=599, step=15000, lr=0.137750, batch loss=0.083179, epoch loss=1.054105
Batch=659, step=15060, lr=0.137500, batch loss=0.133742, epoch loss=1.187847
Batch=719, step=15120, lr=0.137250, batch loss=0.170449, epoch loss=1.358296
Batch=779, step=15180, lr=0.137000, batch loss=0.328309, epoch loss=1.686606
Batch=839, step=15240, lr=0.136750, batch loss=0.133847, epoch loss=1.820453
Batch=899, step=15300, lr=0.136500, batch loss=0.107825, epoch loss=1.928278
Batch=959, step=15360, lr=0.136250, batch loss=0.103443, epoch loss=2.031721
Batch=1019, step=15420, lr=0.136000, batch loss=0.170239, epoch loss=2.201960
Batch=1079, step=15480, lr=0.135750, batch loss=0.036582, epoch loss=2.238542
Batch=1139, step=15540, lr=0.135500, batch loss=0.084627, epoch loss=2.323169
Batch=1199, step=15600, lr=0.135250, batch loss=0.053728, epoch loss=2.376897
Epoch=12, step=15600, lr=0.135250, epoch loss=2.376897
Batch=59, step=15660, lr=0.135000, batch loss=0.089292, epoch loss=0.089292
Batch=119, step=15720, lr=0.134750, batch loss=0.145057, epoch loss=0.234349
Batch=179, step=15780, lr=0.134500, batch loss=0.102605, epoch loss=0.336953
Batch=239, step=15840, lr=0.134250, batch loss=0.099824, epoch loss=0.436777
Batch=299, step=15900, lr=0.134000, batch loss=0.043668, epoch loss=0.480445
Batch=359, step=15960, lr=0.133750, batch loss=0.080382, epoch loss=0.560827
Batch=419, step=16020, lr=0.133500, batch loss=0.078860, epoch loss=0.639687
Batch=479, step=16080, lr=0.133250, batch loss=0.060805, epoch loss=0.700493
Batch=539, step=16140, lr=0.133000, batch loss=0.056252, epoch loss=0.756745
Batch=599, step=16200, lr=0.132750, batch loss=0.110712, epoch loss=0.867457
Batch=659, step=16260, lr=0.132500, batch loss=0.078644, epoch loss=0.946101
Batch=719, step=16320, lr=0.132250, batch loss=0.100226, epoch loss=1.046327
Batch=779, step=16380, lr=0.132000, batch loss=0.202562, epoch loss=1.248889
Batch=839, step=16440, lr=0.131750, batch loss=0.096153, epoch loss=1.345042
Batch=899, step=16500, lr=0.131500, batch loss=0.101983, epoch loss=1.447025
Batch=959, step=16560, lr=0.131250, batch loss=0.049855, epoch loss=1.496880
Batch=1019, step=16620, lr=0.131000, batch loss=0.123958, epoch loss=1.620838
Batch=1079, step=16680, lr=0.130750, batch loss=0.017904, epoch loss=1.638741
Batch=1139, step=16740, lr=0.130500, batch loss=0.042981, epoch loss=1.681722
Batch=1199, step=16800, lr=0.130250, batch loss=0.024456, epoch loss=1.706179
Epoch=13, step=16800, lr=0.130250, epoch loss=1.706179
Batch=59, step=16860, lr=0.130000, batch loss=0.038546, epoch loss=0.038546
Batch=119, step=16920, lr=0.129750, batch loss=0.081197, epoch loss=0.119744
Batch=179, step=16980, lr=0.129500, batch loss=0.056768, epoch loss=0.176511
Batch=239, step=17040, lr=0.129250, batch loss=0.059210, epoch loss=0.235721
Batch=299, step=17100, lr=0.129000, batch loss=0.019722, epoch loss=0.255444
Batch=359, step=17160, lr=0.128500, batch loss=0.045661, epoch loss=0.301105
Batch=419, step=17220, lr=0.128250, batch loss=0.052200, epoch loss=0.353305
Batch=479, step=17280, lr=0.128000, batch loss=0.037247, epoch loss=0.390553
Batch=539, step=17340, lr=0.127750, batch loss=0.064101, epoch loss=0.454654
Batch=599, step=17400, lr=0.127750, batch loss=0.035220, epoch loss=0.489874
Batch=659, step=17460, lr=0.127500, batch loss=0.052360, epoch loss=0.542233
Batch=719, step=17520, lr=0.127250, batch loss=0.069849, epoch loss=0.612083
Batch=779, step=17580, lr=0.127000, batch loss=0.062426, epoch loss=0.674509
Batch=839, step=17640, lr=0.126750, batch loss=0.090159, epoch loss=0.764668
Batch=899, step=17700, lr=0.126500, batch loss=0.050706, epoch loss=0.815374
Batch=959, step=17760, lr=0.126000, batch loss=0.016345, epoch loss=0.831719
Batch=1019, step=17820, lr=0.126000, batch loss=0.028757, epoch loss=0.860476
Batch=1079, step=17880, lr=0.125750, batch loss=0.017887, epoch loss=0.878363
Batch=1139, step=17940, lr=0.125500, batch loss=0.044983, epoch loss=0.923346
Batch=1199, step=18000, lr=0.125250, batch loss=0.017204, epoch loss=0.940550
Epoch=14, step=18000, lr=0.125250, epoch loss=0.940550
Batch=59, step=18060, lr=0.125000, batch loss=0.012174, epoch loss=0.012174
Batch=119, step=18120, lr=0.124750, batch loss=0.019360, epoch loss=0.031534
Batch=179, step=18180, lr=0.124500, batch loss=0.029030, epoch loss=0.060563
Batch=239, step=18240, lr=0.124250, batch loss=0.032507, epoch loss=0.093071
Batch=299, step=18300, lr=0.124000, batch loss=0.010008, epoch loss=0.103078
Batch=359, step=18360, lr=0.123750, batch loss=0.022858, epoch loss=0.125936
Batch=419, step=18420, lr=0.123500, batch loss=0.034488, epoch loss=0.160424
Batch=479, step=18480, lr=0.123250, batch loss=0.027599, epoch loss=0.188022
Batch=539, step=18540, lr=0.123000, batch loss=0.053463, epoch loss=0.241486
Batch=599, step=18600, lr=0.122750, batch loss=0.026655, epoch loss=0.268141
Batch=659, step=18660, lr=0.122500, batch loss=0.032378, epoch loss=0.300519
Batch=719, step=18720, lr=0.122250, batch loss=0.029522, epoch loss=0.330040
Batch=779, step=18780, lr=0.122000, batch loss=0.082726, epoch loss=0.412767
Batch=839, step=18840, lr=0.121750, batch loss=0.051534, epoch loss=0.464301
Batch=899, step=18900, lr=0.121500, batch loss=0.050411, epoch loss=0.514712
Batch=959, step=18960, lr=0.121250, batch loss=0.016617, epoch loss=0.531328
Batch=1019, step=19020, lr=0.121000, batch loss=0.029625, epoch loss=0.560953
Batch=1079, step=19080, lr=0.120750, batch loss=0.010530, epoch loss=0.571483
Batch=1139, step=19140, lr=0.120500, batch loss=0.023839, epoch loss=0.595322
Batch=1199, step=19200, lr=0.120250, batch loss=0.010151, epoch loss=0.605474
Epoch=15, step=19200, lr=0.120250, epoch loss=0.605474
Batch=59, step=19260, lr=0.120000, batch loss=0.005506, epoch loss=0.005506
Batch=119, step=19320, lr=0.119750, batch loss=0.017900, epoch loss=0.023405
Batch=179, step=19380, lr=0.119500, batch loss=0.046174, epoch loss=0.069580
Batch=239, step=19440, lr=0.119250, batch loss=0.021258, epoch loss=0.090837
Batch=299, step=19500, lr=0.119000, batch loss=0.012395, epoch loss=0.103232
Batch=359, step=19560, lr=0.118750, batch loss=0.022962, epoch loss=0.126195
Batch=419, step=19620, lr=0.118500, batch loss=0.019236, epoch loss=0.145430
Batch=479, step=19680, lr=0.118250, batch loss=0.008295, epoch loss=0.153725
Batch=539, step=19740, lr=0.118000, batch loss=0.017005, epoch loss=0.170730
Batch=599, step=19800, lr=0.117750, batch loss=0.024066, epoch loss=0.194796
Batch=659, step=19860, lr=0.117500, batch loss=0.020719, epoch loss=0.215514
Batch=719, step=19920, lr=0.117250, batch loss=0.055122, epoch loss=0.270636
Batch=779, step=19980, lr=0.117000, batch loss=0.086115, epoch loss=0.356751
Batch=839, step=20040, lr=0.116750, batch loss=0.030842, epoch loss=0.387593
Batch=899, step=20100, lr=0.116500, batch loss=0.028955, epoch loss=0.416548
Batch=959, step=20160, lr=0.116250, batch loss=0.018683, epoch loss=0.435231
Batch=1019, step=20220, lr=0.116000, batch loss=0.023061, epoch loss=0.458293
Batch=1079, step=20280, lr=0.115750, batch loss=0.002510, epoch loss=0.460803
Batch=1139, step=20340, lr=0.115500, batch loss=0.014824, epoch loss=0.475627
Batch=1199, step=20400, lr=0.115250, batch loss=0.007763, epoch loss=0.483390
Epoch=16, step=20400, lr=0.115250, epoch loss=0.483390
Batch=59, step=20460, lr=0.115000, batch loss=0.004030, epoch loss=0.004030
Batch=119, step=20520, lr=0.114750, batch loss=0.009098, epoch loss=0.013128
Batch=179, step=20580, lr=0.114500, batch loss=0.015887, epoch loss=0.029015
Batch=239, step=20640, lr=0.114250, batch loss=0.021416, epoch loss=0.050431
Batch=299, step=20700, lr=0.114000, batch loss=0.010383, epoch loss=0.060814
Batch=359, step=20760, lr=0.113750, batch loss=0.013022, epoch loss=0.073836
Batch=419, step=20820, lr=0.113500, batch loss=0.014297, epoch loss=0.088133
Batch=479, step=20880, lr=0.113250, batch loss=0.005256, epoch loss=0.093389
Batch=539, step=20940, lr=0.113000, batch loss=0.015686, epoch loss=0.109075
Batch=599, step=21000, lr=0.112500, batch loss=0.018135, epoch loss=0.127210
Batch=659, step=21060, lr=0.112500, batch loss=0.016311, epoch loss=0.143521
Batch=719, step=21120, lr=0.112250, batch loss=0.038123, epoch loss=0.181644
Batch=779, step=21180, lr=0.112000, batch loss=0.067302, epoch loss=0.248946
Batch=839, step=21240, lr=0.111750, batch loss=0.024663, epoch loss=0.273608
Batch=899, step=21300, lr=0.111500, batch loss=0.027005, epoch loss=0.300613
Batch=959, step=21360, lr=0.111250, batch loss=0.010316, epoch loss=0.310929
Batch=1019, step=21420, lr=0.111000, batch loss=0.009885, epoch loss=0.320815
Batch=1079, step=21480, lr=0.110750, batch loss=0.002252, epoch loss=0.323067
Batch=1139, step=21540, lr=0.110500, batch loss=0.012320, epoch loss=0.335387
Batch=1199, step=21600, lr=0.110250, batch loss=0.005035, epoch loss=0.340422
Epoch=17, step=21600, lr=0.110250, epoch loss=0.340422
Batch=59, step=21660, lr=0.110000, batch loss=0.002301, epoch loss=0.002301
Batch=119, step=21720, lr=0.109750, batch loss=0.006569, epoch loss=0.008870
Batch=179, step=21780, lr=0.109500, batch loss=0.012557, epoch loss=0.021427
Batch=239, step=21840, lr=0.109250, batch loss=0.010819, epoch loss=0.032245
Batch=299, step=21900, lr=0.109000, batch loss=0.012091, epoch loss=0.044336
Batch=359, step=21960, lr=0.108750, batch loss=0.013203, epoch loss=0.057539
Batch=419, step=22020, lr=0.108500, batch loss=0.012256, epoch loss=0.069795
Batch=479, step=22080, lr=0.108250, batch loss=0.002955, epoch loss=0.072750
Batch=539, step=22140, lr=0.108000, batch loss=0.017146, epoch loss=0.089897
Batch=599, step=22200, lr=0.107750, batch loss=0.017068, epoch loss=0.106965
Batch=659, step=22260, lr=0.107500, batch loss=0.014506, epoch loss=0.121471
Batch=719, step=22320, lr=0.107000, batch loss=0.026220, epoch loss=0.147691
Batch=779, step=22380, lr=0.107000, batch loss=0.043078, epoch loss=0.190769
Batch=839, step=22440, lr=0.106750, batch loss=0.021199, epoch loss=0.211968
Batch=899, step=22500, lr=0.106500, batch loss=0.021742, epoch loss=0.233709
Batch=959, step=22560, lr=0.106250, batch loss=0.010277, epoch loss=0.243986
Batch=1019, step=22620, lr=0.106000, batch loss=0.010069, epoch loss=0.254055
Batch=1079, step=22680, lr=0.105750, batch loss=0.000221, epoch loss=0.254276
Batch=1139, step=22740, lr=0.105500, batch loss=0.010768, epoch loss=0.265043
Batch=1199, step=22800, lr=0.105250, batch loss=0.004245, epoch loss=0.269288
Epoch=18, step=22800, lr=0.105250, epoch loss=0.269288
Batch=59, step=22860, lr=0.105000, batch loss=0.001143, epoch loss=0.001143
Batch=119, step=22920, lr=0.104750, batch loss=0.005482, epoch loss=0.006624
Batch=179, step=22980, lr=0.104500, batch loss=0.010296, epoch loss=0.016920
Batch=239, step=23040, lr=0.104250, batch loss=0.009689, epoch loss=0.026609
Batch=299, step=23100, lr=0.104000, batch loss=0.010250, epoch loss=0.036859
Batch=359, step=23160, lr=0.103750, batch loss=0.011507, epoch loss=0.048366
Batch=419, step=23220, lr=0.103500, batch loss=0.011080, epoch loss=0.059446
Batch=479, step=23280, lr=0.103250, batch loss=0.002489, epoch loss=0.061934
Batch=539, step=23340, lr=0.103000, batch loss=0.016253, epoch loss=0.078187
Batch=599, step=23400, lr=0.102750, batch loss=0.013627, epoch loss=0.091814
Batch=659, step=23460, lr=0.102500, batch loss=0.011809, epoch loss=0.103623
Batch=719, step=23520, lr=0.102250, batch loss=0.010402, epoch loss=0.114025
Batch=779, step=23580, lr=0.102000, batch loss=0.013011, epoch loss=0.127036
Batch=839, step=23640, lr=0.101750, batch loss=0.018991, epoch loss=0.146027
Batch=899, step=23700, lr=0.101500, batch loss=0.030111, epoch loss=0.176138
Batch=959, step=23760, lr=0.101250, batch loss=0.007559, epoch loss=0.183697
Batch=1019, step=23820, lr=0.101000, batch loss=0.007905, epoch loss=0.191602
Batch=1079, step=23880, lr=0.100750, batch loss=0.000113, epoch loss=0.191715
Batch=1139, step=23940, lr=0.100500, batch loss=0.008592, epoch loss=0.200307
Batch=1199, step=24000, lr=0.100250, batch loss=0.004472, epoch loss=0.204779
Epoch=19, step=24000, lr=0.100250, epoch loss=0.204779


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
│********************************#*******************************************************************│
│**********************#*#*#######*###*#####*********************************************************│
│**********************#########################*****************************************************│
│*****************#**########*######*###########*###*************************************************│
│***************#################*###################************************************************│
│************######*#################*#################**********************************************│
│**********#*#####*########*#**************##*#########*#********************************************│
│***********########*##*#******************#*****##########******************************************│
│***********###########*************************############***************************************..│
│********######*####*********************************###*###*#***********************************....│
│*******######**##*************....*****************#*######*#********************************.......│
│*******##*##**##**********...........***************########*##****************************.........│
│*****#######************.......%...%%...***************#########**************************........%.│
│******######***********.........%........***************##*#####************************......%.%.%.│
│***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│
│****#######**********..........%%%%.........************#########*********************.......%%.%%.%│
│**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│
│*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│
│*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│
│*##*####***********............%%.%%%%%...........***********####****************...........%%%%%%%.│
│*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│
│#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│
│#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│
│###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│
│#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│
│######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│
│*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│
│#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│
│**************.....................%.%%%%%%...................*******..................%.%%.%%......│
│**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│
│*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│
│*************...........................%..%%%%..%................................%%%%%%%%..........│
│************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│
│***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│
│***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│
│**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│
│**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│
│*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│
│*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│
│********................................................%...%%%%.%%.%%%%..%.........................│
└────────────────────────────────────────────────────────────────────────────────────────────────────┘
"/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1
2025-03-21 13:26.48: Job failed: Failed: Build failed