Organisationsahrefsocannl397418 ()fedora-41-5.3_opam-2.3

fedora-41-5.3_opam-2.3

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2025-05-22 20:00.59: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (39741884b740497ac10065d5e464e6c70f9151f4) (linux-x86_64:fedora-41-5.3_opam-2.3)
Base: ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 39741884
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992
# fedora-41-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo dnf install -y findutils
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 2df846cb67d6f96ae4fced111519ff4ae27d19ae || git fetch origin master) && git reset -q --hard 2df846cb67d6f96ae4fced111519ff4ae27d19ae && 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 astring.0.8.5 backoff.0.1.1 base.v0.17.2 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.19.0 dune-configurator.3.19.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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


2025-05-22 20:00.59: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992-fedora-41-5.3_opam-2.3-63d0fa7caba437c680f3f62d33f451da"
2025-05-22 20:00.59: Using OBuilder spec:
((from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992)
(comment fedora-41-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (network host)
(shell "sudo dnf install -y findutils"))
(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 2df846cb67d6f96ae4fced111519ff4ae27d19ae || git fetch origin master) && git reset -q --hard 2df846cb67d6f96ae4fced111519ff4ae27d19ae && 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 astring.0.8.5 backoff.0.1.1 base.v0.17.2 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.19.0 dune-configurator.3.19.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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"))
)


2025-05-22 20:00.59: Waiting for resource in pool OCluster
2025-05-22 20:00.59: Waiting for worker…
2025-05-22 20:01.10: Got resource from pool OCluster
Building on phoebe.caelum.ci.dev
HEAD is now at 9afb61d2 In progress / broken: Format -> PPrint migration first pass by Claude
HEAD is now at 39741884 Untested: convert remaining uses of Format except where printing Sexp values


(from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992)
2025-05-22 20:01.17 ---> using "da0437edefc3074e740b2380711421a58ad6af000252c27345a9c063faf0cc10" from cache


/: (comment fedora-41-5.3_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (network host)
(shell "sudo dnf install -y findutils"))
Updating and loading repositories:
Fedora 41 openh264 (From Cisco) - x86_ 100% |   2.6 KiB/s | 989.0   B |  00m00s
Fedora 41 - x86_64                     100% |  89.5 KiB/s |  25.7 KiB |  00m00s
Fedora 41 - x86_64 - Updates           100% | 176.8 KiB/s |  23.5 KiB |  00m00s
Fedora 41 - x86_64 - Updates           100% |   1.0 MiB/s |   9.5 MiB |  00m10s
Repositories loaded.
Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed.


Nothing to do.
2025-05-22 20:01.17 ---> using "cda621b93ea4e5bc7b2f3a44f5472568fa9069c819fc4f9ee4dba7021db6599e" from cache


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-05-22 20:01.17 ---> using "00fdc0066ab5f68afc204c28620b3ce62c27dda0ac3863d3d421d30b1e5a7121" from cache


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


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


Continue? [y/n] y
[NOTE] The 'jobs' option was reset, its value was 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 ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-22 20:01.17 ---> using "e4c6ec45de15317b19a5e44e28bcb7589e585c58ff662e7c78b23377170afeeb" 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
2025-05-22 20:01.17 ---> using "21404f6f0f15670f1371a8655b67d83eca7d3eb1d65bed293fe562e27fca1e04" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-22 20:01.17 ---> using "e6db08cef467f22bc6d82a42d4d4c7d0ba62091bad93cb74af70b44a2974850b" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 2df846cb67d6f96ae4fced111519ff4ae27d19ae || git fetch origin master) && git reset -q --hard 2df846cb67d6f96ae4fced111519ff4ae27d19ae && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
35eb2f107a..2df846cb67  master     -> origin/master
2df846cb67 Merge pull request #27910 from maiste/release-dune-3.19.0


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[default] synchronised from git+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)
2025-05-22 20:01.17 ---> using "ea1dc3c607f756be6f61f8bb7fdc238078f3b92ece8497476eed9964fc18a5a9" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-22 20:01.18 ---> saved as "0b228f31ed4cff87447f415aa8b3579f64629c7213639382fb2d0b2f2f33b0c3"


/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)
2025-05-22 20:01.22 ---> saved as "9e4d031bacc464de970792e3a6ae2172741f1f24bd3ae8d11cc94ae999533e49"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-22 20:01.24 ---> saved as "3441186b1df96edf1624cd5130168c3fe0face715e704019962e6bfc78f581c5"


/src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.19.0 dune-configurator.3.19.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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 "yum" "makecache"
- Updating and loading repositories:
-  Fedora 41 - x86_64 - Updates           100% | 179.9 KiB/s |  24.3 KiB |  00m00s
- Repositories loaded.
- Metadata cache created.


<><> 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-devel


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


+ /usr/bin/sudo "yum" "install" "-y" "libffi-devel"
- Updating and loading repositories:
- Repositories loaded.
- Package       Arch   Version      Repository      Size
- Installing:
-  libffi-devel x86_64 3.4.6-3.fc41 fedora      33.1 KiB
- 
- Transaction Summary:
-  Installing:         1 package
- 
- Total size of inbound packages is 29 KiB. Need to download 29 KiB.
- After this operation, 33 KiB extra will be used (install 33 KiB, remove 0 B).
- [1/1] libffi-devel-0:3.4.6-3.fc41.x86_6 100% | 355.1 KiB/s |  28.8 KiB |  00m00s
- --------------------------------------------------------------------------------
- [1/1] Total                             100% | 110.2 KiB/s |  28.8 KiB |  00m00s
- Running transaction
- [1/3] Verify package files              100% |   1.0 KiB/s |   1.0   B |  00m00s
- [2/3] Prepare transaction               100% |  16.0   B/s |   1.0   B |  00m00s
- [3/3] Installing libffi-devel-0:3.4.6-3 100% | 289.9 KiB/s |  34.8 KiB |  00m00s
- Complete!
+ /usr/bin/rpm "-q" "--whatprovides" "libffi-devel"
- libffi-devel-3.4.6-3.fc41.x86_64
2025-05-22 20:01.55 ---> saved as "ebeac6ee89cf96ee5663e4dd8b5c4585c2f637445bf4d6f70d96df63d29db3b9"


/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 75 packages
- install angstrom                0.16.1
- install astring                 0.8.5
- install backoff                 0.1.1
- install base                    v0.17.2
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- install camlp-streams           5.0.1
- install cmdliner                1.3.0
- 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                    3.19.0
- install dune-configurator       3.19.0
- install fieldslib               v0.17.0
- install fmt                     0.10.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install logs                    0.8.0
- install mdx                     2.5.0
- 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-version           4.0.0
- install ocaml_intrinsics_kernel v0.17.1
- install ocamlbuild              0.16.1
- install ocamlfind               1.9.8
- install parsexp                 v0.17.0
- install pprint                  20230830
- 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           2.2.0
- 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 result                  1.5
- 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 thread-local-storage    0.2
- 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 angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved backoff.0.1.1  (cached)
-> retrieved base.v0.17.2  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> retrieved cmdliner.1.3.0  (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 fmt.0.10.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved mdx.2.5.0  (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-version.4.0.0  (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 dune.3.19.0, dune-configurator.3.19.0  (cached)
-> retrieved pprint.20230830  (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_fields_conv.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> 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_string.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> 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 thread-local-storage.0.2  (cached)
-> 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 time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed fmt.0.10.0
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed astring.0.8.5
-> installed logs.0.8.0
-> installed dune.3.19.0
-> 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 camlp-streams.5.0.1
-> installed multicore-magic.2.3.1
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed pprint.20230830
-> installed result.1.5
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed ocaml-syntax-shims.1.0.0
-> installed re.1.12.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed cppo.1.8.0
-> installed integers.0.7.0
-> installed saturn_lockfree.0.5.0
-> installed dune-configurator.3.19.0
-> installed parsexp.v0.17.0
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed mdx.2.5.0
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.2
-> installed ctypes-foreign.0.23.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> 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_minidebug.2.2.0
-> installed ppx_base.v0.17.0
-> installed jst-config.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_string.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)
2025-05-22 20:05.37 ---> saved as "d205e600a0f50c732404c4aa281b23552a45ed6383823a801ae1cef15aa26d56"


/src: (copy (src .) (dst /src))
2025-05-22 20:05.38 ---> saved as "07862b10e19cc36610d93cd857ffa8b46e4fb00d95b6500efe0f7fdc2e046a32"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
(cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
Wrote value of 'backend' to ocannl_backend.txt
File "test_ppx/dune", line 34, characters 7-27:
34 |  (name test_ppx_op_expected)
^^^^^^^^^^^^^^^^^^^^
(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
Fatal error: exception Sys_error("log_files/debug-toc.html: No such file or directory")
Raised by primitive operation at Stdlib.open_out_gen in file "stdlib.ml", line 331, characters 29-55
Called from Stdlib.open_out in file "stdlib.ml" (inlined), line 336, characters 2-74
Called from Minidebug_runtime.shared_config.Result.table_of_contents_ch in file "minidebug_runtime.ml", line 158, characters 15-32
Called from Minidebug_runtime.debug_file.Debug in file "minidebug_runtime.ml", lines 2081-2083, characters 12-68
Called from Thread_local_storage.get_default in file "src/thread_local_storage.ml" (inlined), line 118, characters 12-22
Called from Minidebug_runtime.local_runtime.get_local in file "minidebug_runtime.ml", line 2250, characters 21-76
Called from Minidebug_runtime.local_runtime.(fun) in file "minidebug_runtime.ml", line 2252, characters 41-53
Called from Utils.set_log_level.Debug_runtime in file "arrayjit/lib/utils.ml", lines 415-418, characters 29-42
Called from Utils.restore_settings in file "arrayjit/lib/utils.ml", line 421, characters 2-34
Called from Utils in file "arrayjit/lib/utils.ml", line 438, characters 9-28
(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/f0d801e59458aea5125e205653a6a4bb/default/test && .tutorials.inline-tests/inline-test-runner.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/f0d801e59458aea5125e205653a6a4bb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test && .tutorials.inline-tests/inline-test-runner.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/f0d801e59458aea5125e205653a6a4bb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/79032da3f069ab910fb0d9b95d4773b5/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/dune", lines 30-40, characters 0-281:
30 | (rule
31 |  (alias runtest)
32 |  (target
33 |   (dir log_files))
34 |  (action
35 |   (run
36 |    %{dep:micrograd_demo_logging.exe}
37 |    "--ocannl_debug_backend=text"
38 |    "--ocannl_log_file_stem=micrograd_demo_logging"
39 |    "--ocannl_log_main_domain_to_stdout=false"
40 |    "--ocannl_debug_log_to_stream_files=true")))
(cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_stream_files=true)


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
Retrieving commandline, environment, or config file variable ocannl_backend
Found multicore_cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_cd_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity
Found true, in the config file
Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files
Found true, commandline --ocannl_debug_log_to_stream_files=true
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
Fatal error: exception File "src/printbox-text/PrintBox_text.ml", line 212, characters 6-12: Assertion failed
Raised at PrintBox_text.Output.Make_out.to_buf_aux_ in file "src/printbox-text/PrintBox_text.ml", line 212, characters 6-50
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 19-42
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from PrintBox_text.Output.Make_out.render in file "src/printbox-text/PrintBox_text.ml", line 242, characters 14-64
Called from PrintBox_text.output in file "src/printbox-text/PrintBox_text.ml", line 851, characters 2-31
Called from Minidebug_runtime.PrintBox.output_box in file "minidebug_runtime.ml", line 1527, characters 19-59
Called from Minidebug_runtime.PrintBox.close_log_impl.close_tree in file "minidebug_runtime.ml", line 1572, characters 6-38
Called from Backends.Add_buffer_retrieval_and_syncing.sync_routine in file "arrayjit/lib/backends.ml", lines 144-172, characters 31-82
Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 454-455, characters 4-92
Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 441-455, characters 23-92
Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 34, characters 13-77
(cd _build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test && .tutorials.inline-tests/inline-test-runner.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/f0d801e59458aea5125e205653a6a4bb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test && .tutorials.inline-tests/inline-test-runner.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/f0d801e59458aea5125e205653a6a4bb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/micrograd_demo.ml", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/micrograd_demo.ml _build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test/micrograd_demo.ml.corrected
diff --git a/_build/default/test/micrograd_demo.ml b/_build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test/micrograd_demo.ml.corrected
index 77e46c6..ab81526 100644
--- a/_build/default/test/micrograd_demo.ml
+++ b/_build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test/micrograd_demo.ml.corrected
@@ -52,15 +52,14 @@ let%expect_test "Micrograd README basic example" =
│├┼───────┤       │
│││ -4.00 │       │
│└┴───────┘       │
-    └─────────────────┘
-    ┌────────────────────────┐
-                                                              │[0]: a shape 0:1  grad_a│
-                                                              │┌┬─────────┐            │
-                                                              │││axis 0   │            │
-                                                              │├┼─────────┤            │
-                                                              │││ 1.38e+2 │            │
-                                                              │└┴─────────┘            │
-                                                              └────────────────────────┘
+    └─────────────────┘┌────────────────────────┐
+    │[0]: a shape 0:1  grad_a│
+    │┌┬─────────┐            │
+    │││axis 0   │            │
+    │├┼─────────┤            │
+    │││ 1.38e+2 │            │
+    │└┴─────────┘            │
+    └────────────────────────┘
|}];
Tensor.print ~with_code:false ~with_grad:true `Default b;
[%expect
@@ -72,15 +71,14 @@ let%expect_test "Micrograd README basic example" =
│├┼──────┤        │
│││ 2.00 │        │
│└┴──────┘        │
-    └─────────────────┘
-    ┌────────────────────────┐
-                                                              │[2]: b shape 0:1  grad_b│
-                                                              │┌┬─────────┐            │
-                                                              │││axis 0   │            │
-                                                              │├┼─────────┤            │
-                                                              │││ 6.45e+2 │            │
-                                                              │└┴─────────┘            │
-                                                              └────────────────────────┘
+    └─────────────────┘┌────────────────────────┐
+    │[2]: b shape 0:1  grad_b│
+    │┌┬─────────┐            │
+    │││axis 0   │            │
+    │├┼─────────┤            │
+    │││ 6.45e+2 │            │
+    │└┴─────────┘            │
+    └────────────────────────┘
|}]


let%expect_test "Micrograd half-moons example" =
File "test/hello_world_op.ml", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/hello_world_op.ml _build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test/hello_world_op.ml.corrected
diff --git a/_build/default/test/hello_world_op.ml b/_build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test/hello_world_op.ml.corrected
index ba9d7ef..6bfa309 100644
--- a/_build/default/test/hello_world_op.ml
+++ b/_build/.sandbox/f0d801e59458aea5125e205653a6a4bb/default/test/hello_world_op.ml.corrected
@@ -102,36 +102,46 @@ let%expect_test "Print constant tensor" =
let%op hey = [ (1, 2, 3); (4, 5, 6) ] in
Train.forward_and_forget backend ctx hey;
Tensor.print ~with_code:false ~with_grad:false `Inline @@ hey;
-  [%expect {| [1.00, 2.00, 3.00; 4.00, 5.00, 6.00] |}];
+  [%expect {|
+    [0]: [  1.00 , 2.00 , 3.00  ;  4.00 , 5.00 , 6.00  ]_hey shape 1:3->0:2  [
+       1.00 , 2.00 , 3.00
+      ;  4.00 , 5.00 , 6.00
+    ]
+    |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ hey;
[%expect
{|
-    ┌─────────────────────────────────────────────────────────────┐
-    │[0]: [1.00, 2.00, 3.00; 4.00, 5.00, 6.00]_hey shape 1:3->0:2 │
-    │┌──────┬──────────────────┐                                  │
-    ││      │axis 1            │                                  │
-    │├──────┼──────────────────┤                                  │
-    ││axis 0│ 1.00  2.00  3.00 │                                  │
-    ││      │ 4.00  5.00  6.00 │                                  │
-    │└──────┴──────────────────┘                                  │
-    └─────────────────────────────────────────────────────────────┘
+    ┌────────────────────────────────────────────────────────────────────────┐
+    │[0]: [  1.00 , 2.00 , 3.00  ;  4.00 , 5.00 , 6.00  ]_hey shape 1:3->0:2 │
+    │┌──────┬──────────────────┐                                             │
+    ││      │axis 1            │                                             │
+    │├──────┼──────────────────┤                                             │
+    ││axis 0│ 1.00  2.00  3.00 │                                             │
+    ││      │ 4.00  5.00  6.00 │                                             │
+    │└──────┴──────────────────┘                                             │
+    └────────────────────────────────────────────────────────────────────────┘
|}];
let%op hoo = [| [ 1; 2; 3 ]; [ 4; 5; 6 ] |] in
Train.forward_and_forget backend ctx hoo;
Tensor.print ~with_code:false ~with_grad:false `Inline @@ hoo;
-  [%expect {| [|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|] |}];
+  [%expect {|
+    [1]: [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |]_hoo shape 0:2|1:3  [|
+      [ 1.00 ; 2.00 ; 3.00 ]
+      ; [ 4.00 ; 5.00 ; 6.00 ]
+    |]
+    |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ hoo;
[%expect
{|
-    ┌──────────────────────────────────────────────────────────────────┐
-    │[1]: [|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|]_hoo shape 0:2|1:3 │
-    │┌──────┬──────────────────┐                                       │
-    ││      │axis 1            │                                       │
-    │├──────┼──────────────────┤                                       │
-    ││axis 0│ 1.00  2.00  3.00 │                                       │
-    ││      │ 4.00  5.00  6.00 │                                       │
-    │└──────┴──────────────────┘                                       │
-    └──────────────────────────────────────────────────────────────────┘
+    ┌─────────────────────────────────────────────────────────────────────────────┐
+    │[1]: [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |]_hoo shape 0:2|1:3 │
+    │┌──────┬──────────────────┐                                                  │
+    ││      │axis 1            │                                                  │
+    │├──────┼──────────────────┤                                                  │
+    ││axis 0│ 1.00  2.00  3.00 │                                                  │
+    ││      │ 4.00  5.00  6.00 │                                                  │
+    │└──────┴──────────────────┘                                                  │
+    └─────────────────────────────────────────────────────────────────────────────┘
|}];
let%op hey2 =
[
@@ -145,10 +155,12 @@ let%expect_test "Print constant tensor" =
Tensor.print ~with_code:false ~with_grad:false `Inline @@ hey2;
[%expect
{|
-    [(1.00, 2.00, 3.00), (4.00, 5.00, 6.00);
-      (7.00, 8.00, 9.00), (10.00, 11.00, 12.00);
-      (13.00, 14.00, 15.00), (16.00, 17.00, 18.00);
-      (19.00, 20.00, 21.00), (22.00, 23.00, 24.00)]
+    [2]: c4x2x3_hey2 shape 1:2,2:3->0:4  [
+       ( 1.00 , 2.00 , 3.00 ) , ( 4.00 , 5.00 , 6.00 )
+      ;  ( 7.00 , 8.00 , 9.00 ) , ( 10.00 , 11.00 , 12.00 )
+      ;  ( 13.00 , 14.00 , 15.00 ) , ( 16.00 , 17.00 , 18.00 )
+      ;  ( 19.00 , 20.00 , 21.00 ) , ( 22.00 , 23.00 , 24.00 )
+    ]
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ hey2;
[%expect
@@ -178,10 +190,12 @@ let%expect_test "Print constant tensor" =
Tensor.print ~with_code:false ~with_grad:false `Inline @@ hoo2;
[%expect
{|
-    [|[[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]];
-      [[7.00; 8.00; 9.00]; [10.00; 11.00; 12.00]];
-      [[13.00; 14.00; 15.00]; [16.00; 17.00; 18.00]];
-      [[19.00; 20.00; 21.00]; [22.00; 23.00; 24.00]]|]
+    [3]: c4x2x3_hoo2 shape 0:4|1:2,2:3  [|
+      [ [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] ]
+      ; [ [ 7.00 ; 8.00 ; 9.00 ] ; [ 10.00 ; 11.00 ; 12.00 ] ]
+      ; [ [ 13.00 ; 14.00 ; 15.00 ] ; [ 16.00 ; 17.00 ; 18.00 ] ]
+      ; [ [ 19.00 ; 20.00 ; 21.00 ] ; [ 22.00 ; 23.00 ; 24.00 ] ]
+    |]
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ hoo2;
[%expect
@@ -209,10 +223,12 @@ let%expect_test "Print constant tensor" =
Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo;
[%expect
{|
-    [|[|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|];
-      [|[7.00; 8.00; 9.00]; [10.00; 11.00; 12.00]|];
-      [|[13.00; 14.00; 15.00]; [16.00; 17.00; 18.00]|];
-      [|[19.00; 20.00; 21.00]; [22.00; 23.00; 24.00]|]|]
+    [4]: c4x2x3_heyhoo shape 0:4,1:2|2:3  [|
+      [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |]
+      ; [| [ 7.00 ; 8.00 ; 9.00 ] ; [ 10.00 ; 11.00 ; 12.00 ] |]
+      ; [| [ 13.00 ; 14.00 ; 15.00 ] ; [ 16.00 ; 17.00 ; 18.00 ] |]
+      ; [| [ 19.00 ; 20.00 ; 21.00 ] ; [ 22.00 ; 23.00 ; 24.00 ] |]
+    |]
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo;
[%expect
@@ -240,15 +256,24 @@ let%expect_test "Print constant tensor" =
Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo2;
[%expect
{|
-    [|
-      [|[[1.00; 31.00]; [2.00; 32.00]; [3.00; 33.00]];
-        [[4.00; 34.00]; [5.00; 35.00]; [6.00; 36.00]]|];
-      [|[[7.00; 37.00]; [8.00; 38.00]; [9.00; 39.00]];
-        [[10.00; 40.00]; [11.00; 41.00]; [12.00; 42.00]]|];
-      [|[[13.00; 43.00]; [14.00; 44.00]; [15.00; 45.00]];
-        [[16.00; 46.00]; [17.00; 47.00]; [18.00; 48.00]]|];
-      [|[[19.00; 49.00]; [20.00; 50.00]; [21.00; 51.00]];
-        [[22.00; 52.00]; [23.00; 53.00]; [24.00; 54.00]]|]|]
+    [5]: c4x2x3x2_heyhoo2 shape 0:4,1:2|2:3,3:2  [|
+      [|
+        [ [ 1.00 ; 31.00 ] ; [ 2.00 ; 32.00 ] ; [ 3.00 ; 33.00 ] ]
+        ; [ [ 4.00 ; 34.00 ] ; [ 5.00 ; 35.00 ] ; [ 6.00 ; 36.00 ] ]
+      |]
+      ; [|
+        [ [ 7.00 ; 37.00 ] ; [ 8.00 ; 38.00 ] ; [ 9.00 ; 39.00 ] ]
+        ; [ [ 10.00 ; 40.00 ] ; [ 11.00 ; 41.00 ] ; [ 12.00 ; 42.00 ] ]
+      |]
+      ; [|
+        [ [ 13.00 ; 43.00 ] ; [ 14.00 ; 44.00 ] ; [ 15.00 ; 45.00 ] ]
+        ; [ [ 16.00 ; 46.00 ] ; [ 17.00 ; 47.00 ] ; [ 18.00 ; 48.00 ] ]
+      |]
+      ; [|
+        [ [ 19.00 ; 49.00 ] ; [ 20.00 ; 50.00 ] ; [ 21.00 ; 51.00 ] ]
+        ; [ [ 22.00 ; 52.00 ] ; [ 23.00 ; 53.00 ] ; [ 24.00 ; 54.00 ] ]
+      |]
+    |]
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo2;
[%expect
@@ -293,17 +318,28 @@ let%expect_test "Print constant tensor" =
Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo3;
[%expect
{|
-    [|
+    [6]: c2x2x2x3x2_heyhoo3 shape 0:2,1:2|2:2,3:3,4:2  [|
[|
-        [[[1.00; 31.00]; [2.00; 32.00]; [3.00; 33.00]];
-          [[4.00; 34.00]; [5.00; 35.00]; [6.00; 36.00]]];
-        [[[7.00; 37.00]; [8.00; 38.00]; [9.00; 39.00]];
-          [[10.00; 40.00]; [11.00; 41.00]; [12.00; 42.00]]]|];
-      [|
-        [[[13.00; 43.00]; [14.00; 44.00]; [15.00; 45.00]];
-          [[16.00; 46.00]; [17.00; 47.00]; [18.00; 48.00]]];
-        [[[19.00; 49.00]; [20.00; 50.00]; [21.00; 51.00]];
-          [[22.00; 52.00]; [23.00; 53.00]; [24.00; 54.00]]]|]|]
+        [
+          [ [ 1.00 ; 31.00 ] ; [ 2.00 ; 32.00 ] ; [ 3.00 ; 33.00 ] ]
+          ; [ [ 4.00 ; 34.00 ] ; [ 5.00 ; 35.00 ] ; [ 6.00 ; 36.00 ] ]
+        ]
+        ; [
+          [ [ 7.00 ; 37.00 ] ; [ 8.00 ; 38.00 ] ; [ 9.00 ; 39.00 ] ]
+          ; [ [ 10.00 ; 40.00 ] ; [ 11.00 ; 41.00 ] ; [ 12.00 ; 42.00 ] ]
+        ]
+      |]
+      ; [|
+        [
+          [ [ 13.00 ; 43.00 ] ; [ 14.00 ; 44.00 ] ; [ 15.00 ; 45.00 ] ]
+          ; [ [ 16.00 ; 46.00 ] ; [ 17.00 ; 47.00 ] ; [ 18.00 ; 48.00 ] ]
+        ]
+        ; [
+          [ [ 19.00 ; 49.00 ] ; [ 20.00 ; 50.00 ] ; [ 21.00 ; 51.00 ] ]
+          ; [ [ 22.00 ; 52.00 ] ; [ 23.00 ; 53.00 ] ; [ 24.00 ; 54.00 ] ]
+        ]
+      |]
+    |]
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo3;
[%expect
@@ -353,17 +389,28 @@ let%expect_test "Print constant tensor" =
Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo4;
[%expect
{|
-    [|
-      [
-        [[1.00, 31.00; 2.00, 32.00; 3.00, 33.00];
-          [4.00, 34.00; 5.00, 35.00; 6.00, 36.00]];
-        [[7.00, 37.00; 8.00, 38.00; 9.00, 39.00];
-          [10.00, 40.00; 11.00, 41.00; 12.00, 42.00]]];
+    [7]: c2x2x2x3x2_heyhoo4 shape 0:2|4:2->1:2,2:2,3:3  [|
[
-        [[13.00, 43.00; 14.00, 44.00; 15.00, 45.00];
-          [16.00, 46.00; 17.00, 47.00; 18.00, 48.00]];
-        [[19.00, 49.00; 20.00, 50.00; 21.00, 51.00];
-          [22.00, 52.00; 23.00, 53.00; 24.00, 54.00]]]|]
+        [
+          [  1.00 , 31.00  ;  2.00 , 32.00  ;  3.00 , 33.00  ]
+          ; [  4.00 , 34.00  ;  5.00 , 35.00  ;  6.00 , 36.00  ]
+        ]
+        ; [
+          [  7.00 , 37.00  ;  8.00 , 38.00  ;  9.00 , 39.00  ]
+          ; [  10.00 , 40.00  ;  11.00 , 41.00  ;  12.00 , 42.00  ]
+        ]
+      ]
+      ; [
+        [
+          [  13.00 , 43.00  ;  14.00 , 44.00  ;  15.00 , 45.00  ]
+          ; [  16.00 , 46.00  ;  17.00 , 47.00  ;  18.00 , 48.00  ]
+        ]
+        ; [
+          [  19.00 , 49.00  ;  20.00 , 50.00  ;  21.00 , 51.00  ]
+          ; [  22.00 , 52.00  ;  23.00 , 53.00  ;  24.00 , 54.00  ]
+        ]
+      ]
+    |]
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo4;
[%expect
@@ -462,8 +509,29 @@ let%expect_test "Big matrix" =
Tensor.print ~with_code:false ~with_grad:false `Inline zero_to_twenty;
[%expect
{|
-    [0.00; 1.00; 2.00; 3.00; 4.00; 5.00; 6.00; 7.00; 8.00; 9.00; 10.00; 11.00;
-      12.00; 13.00; 14.00; 15.00; 16.00; 17.00; 18.00; 19.00; 20.00]
+    [2]: 0...20 shape 0:21  [
+      0.00
+      ; 1.00
+      ; 2.00
+      ; 3.00
+      ; 4.00
+      ; 5.00
+      ; 6.00
+      ; 7.00
+      ; 8.00
+      ; 9.00
+      ; 10.00
+      ; 11.00
+      ; 12.00
+      ; 13.00
+      ; 14.00
+      ; 15.00
+      ; 16.00
+      ; 17.00
+      ; 18.00
+      ; 19.00
+      ; 20.00
+    ]
|}];
Tensor.print ~with_code:false ~with_grad:false `Default zero_to_twenty;
[%expect
(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 multicore_cc, in the config file
Properties of devices:
(multicore_devices
(device ((device_name CPU) (device_ordinal 0) (num_domains 72))))
@!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity
Found true, in the config file
Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files
Not found, using default false
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248
Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112
Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523
Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236
Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723
Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539
Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053
Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157
Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168
Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420
Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854
Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365
Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593
Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121
Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243
Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563
Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333
Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239
Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610
Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501
Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094
Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074
Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079
Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298
Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203
Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269
Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001
Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056
Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748
Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194
Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213
Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805
Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672
Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851
Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195
Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366
Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287
Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436
Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264
Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319
Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180
Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529
Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820
Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361
Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741
Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671
Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786
Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067
Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387
Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355
Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855
Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963
Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184
Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407
Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164
Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633
Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671
Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133
Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999
Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312
Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223
Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223
Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877
Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301
Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593
Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416
Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253
Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689
Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497
Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495
Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390
Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314
Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229
Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518
Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460
Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885
Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660
Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955
Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988
Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087
Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829
Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103
Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103
Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725
Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742
Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592559
Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762
Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755
Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311388
Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988
Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785580
Batch=539, step=8940, lr=0.163000, batch loss=0.178132, epoch loss=1.963712
Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181101
Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475915
Batch=719, step=9120, lr=0.162250, batch loss=0.296433, epoch loss=2.772348
Batch=779, step=9180, lr=0.161750, batch loss=0.316728, epoch loss=3.089075
Batch=839, step=9240, lr=0.161750, batch loss=0.287185, epoch loss=3.376260
Batch=899, step=9300, lr=0.161500, batch loss=0.251122, epoch loss=3.627382
Batch=959, step=9360, lr=0.161250, batch loss=0.190417, epoch loss=3.817799
Batch=1019, step=9420, lr=0.161000, batch loss=0.311912, epoch loss=4.129711
Batch=1079, step=9480, lr=0.160750, batch loss=0.191422, epoch loss=4.321133
Batch=1139, step=9540, lr=0.160500, batch loss=0.215867, epoch loss=4.537000
Batch=1199, step=9600, lr=0.160250, batch loss=0.165626, epoch loss=4.702625
Epoch=7, step=9600, lr=0.160250, epoch loss=4.702625
Batch=59, step=9660, lr=0.160000, batch loss=0.197131, epoch loss=0.197131
Batch=119, step=9720, lr=0.159750, batch loss=0.165531, epoch loss=0.362662
Batch=179, step=9780, lr=0.159500, batch loss=0.179297, epoch loss=0.541958
Batch=239, step=9840, lr=0.159250, batch loss=0.263796, epoch loss=0.805755
Batch=299, step=9900, lr=0.159000, batch loss=0.182291, epoch loss=0.988045
Batch=359, step=9960, lr=0.158750, batch loss=0.240753, epoch loss=1.228798
Batch=419, step=10020, lr=0.158500, batch loss=0.233046, epoch loss=1.461844
Batch=479, step=10080, lr=0.158250, batch loss=0.213120, epoch loss=1.674964
Batch=539, step=10140, lr=0.158000, batch loss=0.170777, epoch loss=1.845741
Batch=599, step=10200, lr=0.157750, batch loss=0.200157, epoch loss=2.045898
Batch=659, step=10260, lr=0.157500, batch loss=0.283103, epoch loss=2.329001
Batch=719, step=10320, lr=0.157250, batch loss=0.288671, epoch loss=2.617672
Batch=779, step=10380, lr=0.157000, batch loss=0.296957, epoch loss=2.914629
Batch=839, step=10440, lr=0.156750, batch loss=0.267599, epoch loss=3.182228
Batch=899, step=10500, lr=0.156500, batch loss=0.242794, epoch loss=3.425023
Batch=959, step=10560, lr=0.156250, batch loss=0.198524, epoch loss=3.623547
Batch=1019, step=10620, lr=0.156000, batch loss=0.295304, epoch loss=3.918851
Batch=1079, step=10680, lr=0.155750, batch loss=0.178480, epoch loss=4.097331
Batch=1139, step=10740, lr=0.155500, batch loss=0.205545, epoch loss=4.302876
Batch=1199, step=10800, lr=0.155250, batch loss=0.156117, epoch loss=4.458993
Epoch=8, step=10800, lr=0.155250, epoch loss=4.458993
Batch=59, step=10860, lr=0.155000, batch loss=0.177350, epoch loss=0.177350
Batch=119, step=10920, lr=0.154750, batch loss=0.152438, epoch loss=0.329788
Batch=179, step=10980, lr=0.154500, batch loss=0.167112, epoch loss=0.496900
Batch=239, step=11040, lr=0.154250, batch loss=0.242579, epoch loss=0.739479
Batch=299, step=11100, lr=0.154000, batch loss=0.170093, epoch loss=0.909573
Batch=359, step=11160, lr=0.153750, batch loss=0.222026, epoch loss=1.131598
Batch=419, step=11220, lr=0.153500, batch loss=0.229354, epoch loss=1.360953
Batch=479, step=11280, lr=0.153250, batch loss=0.202780, epoch loss=1.563733
Batch=539, step=11340, lr=0.153000, batch loss=0.159193, epoch loss=1.722926
Batch=599, step=11400, lr=0.152750, batch loss=0.178412, epoch loss=1.901338
Batch=659, step=11460, lr=0.152500, batch loss=0.264798, epoch loss=2.166137
Batch=719, step=11520, lr=0.152250, batch loss=0.256873, epoch loss=2.423010
Batch=779, step=11580, lr=0.152000, batch loss=0.273389, epoch loss=2.696399
Batch=839, step=11640, lr=0.151750, batch loss=0.255715, epoch loss=2.952114
Batch=899, step=11700, lr=0.151500, batch loss=0.213007, epoch loss=3.165121
Batch=959, step=11760, lr=0.151250, batch loss=0.168056, epoch loss=3.333177
Batch=1019, step=11820, lr=0.151000, batch loss=0.266210, epoch loss=3.599387
Batch=1079, step=11880, lr=0.150750, batch loss=0.149597, epoch loss=3.748984
Batch=1139, step=11940, lr=0.150500, batch loss=0.185641, epoch loss=3.934625
Batch=1199, step=12000, lr=0.150250, batch loss=0.139464, epoch loss=4.074089
Epoch=9, step=12000, lr=0.150250, epoch loss=4.074089
Batch=59, step=12060, lr=0.150000, batch loss=0.157968, epoch loss=0.157968
Batch=119, step=12120, lr=0.149750, batch loss=0.128878, epoch loss=0.286846
Batch=179, step=12180, lr=0.149500, batch loss=0.150422, epoch loss=0.437268
Batch=239, step=12240, lr=0.149250, batch loss=0.223222, epoch loss=0.660490
Batch=299, step=12300, lr=0.149000, batch loss=0.142695, epoch loss=0.803185
Batch=359, step=12360, lr=0.148750, batch loss=0.195354, epoch loss=0.998539
Batch=419, step=12420, lr=0.148500, batch loss=0.206300, epoch loss=1.204839
Batch=479, step=12480, lr=0.148250, batch loss=0.178678, epoch loss=1.383517
Batch=539, step=12540, lr=0.148000, batch loss=0.142643, epoch loss=1.526161
Batch=599, step=12600, lr=0.147750, batch loss=0.150397, epoch loss=1.676558
Batch=659, step=12660, lr=0.147500, batch loss=0.224929, epoch loss=1.901487
Batch=719, step=12720, lr=0.147250, batch loss=0.235247, epoch loss=2.136733
Batch=779, step=12780, lr=0.147000, batch loss=0.252741, epoch loss=2.389475
Batch=839, step=12840, lr=0.146750, batch loss=0.224929, epoch loss=2.614404
Batch=899, step=12900, lr=0.146500, batch loss=0.185350, epoch loss=2.799754
Batch=959, step=12960, lr=0.146250, batch loss=0.148867, epoch loss=2.948621
Batch=1019, step=13020, lr=0.146000, batch loss=0.268121, epoch loss=3.216742
Batch=1079, step=13080, lr=0.145750, batch loss=0.115263, epoch loss=3.332005
Batch=1139, step=13140, lr=0.145500, batch loss=0.155439, epoch loss=3.487444
Batch=1199, step=13200, lr=0.145250, batch loss=0.118519, epoch loss=3.605963
Epoch=10, step=13200, lr=0.145250, epoch loss=3.605963
Batch=59, step=13260, lr=0.145000, batch loss=0.143317, epoch loss=0.143317
Batch=119, step=13320, lr=0.144750, batch loss=0.119736, epoch loss=0.263054
Batch=179, step=13380, lr=0.144500, batch loss=0.127199, epoch loss=0.390253
Batch=239, step=13440, lr=0.144250, batch loss=0.186766, epoch loss=0.577019
Batch=299, step=13500, lr=0.144000, batch loss=0.112784, epoch loss=0.689802
Batch=359, step=13560, lr=0.143750, batch loss=0.161560, epoch loss=0.851362
Batch=419, step=13620, lr=0.143500, batch loss=0.160620, epoch loss=1.011983
Batch=479, step=13680, lr=0.143250, batch loss=0.147288, epoch loss=1.159271
Batch=539, step=13740, lr=0.143000, batch loss=0.118090, epoch loss=1.277361
Batch=599, step=13800, lr=0.142750, batch loss=0.119983, epoch loss=1.397344
Batch=659, step=13860, lr=0.142500, batch loss=0.175912, epoch loss=1.573256
Batch=719, step=13920, lr=0.142250, batch loss=0.172499, epoch loss=1.745755
Batch=779, step=13980, lr=0.142000, batch loss=0.178546, epoch loss=1.924301
Batch=839, step=14040, lr=0.141750, batch loss=0.186010, epoch loss=2.110311
Batch=899, step=14100, lr=0.141500, batch loss=0.178343, epoch loss=2.288655
Batch=959, step=14160, lr=0.141250, batch loss=0.145923, epoch loss=2.434577
Batch=1019, step=14220, lr=0.141000, batch loss=0.330389, epoch loss=2.764967
Batch=1079, step=14280, lr=0.140750, batch loss=0.082577, epoch loss=2.847544
Batch=1139, step=14340, lr=0.140500, batch loss=0.122377, epoch loss=2.969921
Batch=1199, step=14400, lr=0.140250, batch loss=0.091768, epoch loss=3.061689
Epoch=11, step=14400, lr=0.140250, epoch loss=3.061689
Batch=59, step=14460, lr=0.140000, batch loss=0.112697, epoch loss=0.112697
Batch=119, step=14520, lr=0.139750, batch loss=0.102824, epoch loss=0.215521
Batch=179, step=14580, lr=0.139500, batch loss=0.105863, epoch loss=0.321384
Batch=239, step=14640, lr=0.139250, batch loss=0.140917, epoch loss=0.462301
Batch=299, step=14700, lr=0.139000, batch loss=0.081139, epoch loss=0.543440
Batch=359, step=14760, lr=0.138750, batch loss=0.125294, epoch loss=0.668734
Batch=419, step=14820, lr=0.138500, batch loss=0.129286, epoch loss=0.798019
Batch=479, step=14880, lr=0.138250, batch loss=0.101378, epoch loss=0.899397
Batch=539, step=14940, lr=0.138000, batch loss=0.090745, epoch loss=0.990142
Batch=599, step=15000, lr=0.137750, batch loss=0.084912, epoch loss=1.075054
Batch=659, step=15060, lr=0.137500, batch loss=0.129179, epoch loss=1.204233
Batch=719, step=15120, lr=0.137250, batch loss=0.121451, epoch loss=1.325684
Batch=779, step=15180, lr=0.137000, batch loss=0.134526, epoch loss=1.460210
Batch=839, step=15240, lr=0.136750, batch loss=0.174491, epoch loss=1.634701
Batch=899, step=15300, lr=0.136500, batch loss=0.294606, epoch loss=1.929307
Batch=959, step=15360, lr=0.136250, batch loss=0.059318, epoch loss=1.988625
Batch=1019, step=15420, lr=0.136000, batch loss=0.136262, epoch loss=2.124887
Batch=1079, step=15480, lr=0.135750, batch loss=0.049514, epoch loss=2.174401
Batch=1139, step=15540, lr=0.135500, batch loss=0.106152, epoch loss=2.280553
Batch=1199, step=15600, lr=0.135250, batch loss=0.062299, epoch loss=2.342851
Epoch=12, step=15600, lr=0.135250, epoch loss=2.342851
Batch=59, step=15660, lr=0.135000, batch loss=0.077193, epoch loss=0.077193
Batch=119, step=15720, lr=0.134750, batch loss=0.100727, epoch loss=0.177920
Batch=179, step=15780, lr=0.134500, batch loss=0.088269, epoch loss=0.266189
Batch=239, step=15840, lr=0.134250, batch loss=0.090856, epoch loss=0.357045
Batch=299, step=15900, lr=0.134000, batch loss=0.041366, epoch loss=0.398411
Batch=359, step=15960, lr=0.133750, batch loss=0.077605, epoch loss=0.476015
Batch=419, step=16020, lr=0.133500, batch loss=0.083785, epoch loss=0.559801
Batch=479, step=16080, lr=0.133250, batch loss=0.076953, epoch loss=0.636753
Batch=539, step=16140, lr=0.133000, batch loss=0.052602, epoch loss=0.689355
Batch=599, step=16200, lr=0.132750, batch loss=0.097668, epoch loss=0.787023
Batch=659, step=16260, lr=0.132500, batch loss=0.075905, epoch loss=0.862928
Batch=719, step=16320, lr=0.132250, batch loss=0.086881, epoch loss=0.949810
Batch=779, step=16380, lr=0.132000, batch loss=0.127552, epoch loss=1.077362
Batch=839, step=16440, lr=0.131750, batch loss=0.121422, epoch loss=1.198784
Batch=899, step=16500, lr=0.131500, batch loss=0.132601, epoch loss=1.331385
Batch=959, step=16560, lr=0.131250, batch loss=0.042492, epoch loss=1.373877
Batch=1019, step=16620, lr=0.131000, batch loss=0.101954, epoch loss=1.475831
Batch=1079, step=16680, lr=0.130750, batch loss=0.027987, epoch loss=1.503818
Batch=1139, step=16740, lr=0.130500, batch loss=0.056156, epoch loss=1.559973
Batch=1199, step=16800, lr=0.130250, batch loss=0.029376, epoch loss=1.589350
Epoch=13, step=16800, lr=0.130250, epoch loss=1.589350
Batch=59, step=16860, lr=0.130000, batch loss=0.039025, epoch loss=0.039025
Batch=119, step=16920, lr=0.129750, batch loss=0.065311, epoch loss=0.104335
Batch=179, step=16980, lr=0.129500, batch loss=0.053335, epoch loss=0.157670
Batch=239, step=17040, lr=0.129250, batch loss=0.063657, epoch loss=0.221328
Batch=299, step=17100, lr=0.129000, batch loss=0.025510, epoch loss=0.246838
Batch=359, step=17160, lr=0.128750, batch loss=0.046178, epoch loss=0.293016
Batch=419, step=17220, lr=0.128500, batch loss=0.047756, epoch loss=0.340772
Batch=479, step=17280, lr=0.128250, batch loss=0.027220, epoch loss=0.367992
Batch=539, step=17340, lr=0.128000, batch loss=0.054251, epoch loss=0.422243
Batch=599, step=17400, lr=0.127750, batch loss=0.034577, epoch loss=0.456820
Batch=659, step=17460, lr=0.127500, batch loss=0.045888, epoch loss=0.502708
Batch=719, step=17520, lr=0.127250, batch loss=0.040169, epoch loss=0.542877
Batch=779, step=17580, lr=0.127000, batch loss=0.072511, epoch loss=0.615388
Batch=839, step=17640, lr=0.126750, batch loss=0.086942, epoch loss=0.702330
Batch=899, step=17700, lr=0.126500, batch loss=0.116843, epoch loss=0.819173
Batch=959, step=17760, lr=0.126250, batch loss=0.028195, epoch loss=0.847368
Batch=1019, step=17820, lr=0.126000, batch loss=0.047850, epoch loss=0.895219
Batch=1079, step=17880, lr=0.125750, batch loss=0.012687, epoch loss=0.907906
Batch=1139, step=17940, lr=0.125500, batch loss=0.030647, epoch loss=0.938553
Batch=1199, step=18000, lr=0.125250, batch loss=0.014420, epoch loss=0.952974
Epoch=14, step=18000, lr=0.125250, epoch loss=0.952974
Batch=59, step=18060, lr=0.125000, batch loss=0.010753, epoch loss=0.010753
Batch=119, step=18120, lr=0.124750, batch loss=0.041078, epoch loss=0.051831
Batch=179, step=18180, lr=0.124500, batch loss=0.100193, epoch loss=0.152024
Batch=239, step=18240, lr=0.124250, batch loss=0.046402, epoch loss=0.198426
Batch=299, step=18300, lr=0.124000, batch loss=0.009678, epoch loss=0.208104
Batch=359, step=18360, lr=0.123750, batch loss=0.026794, epoch loss=0.234898
Batch=419, step=18420, lr=0.123500, batch loss=0.028260, epoch loss=0.263158
Batch=479, step=18480, lr=0.123250, batch loss=0.015574, epoch loss=0.278731
Batch=539, step=18540, lr=0.123000, batch loss=0.020630, epoch loss=0.299361
Batch=599, step=18600, lr=0.122750, batch loss=0.025933, epoch loss=0.325294
Batch=659, step=18660, lr=0.122500, batch loss=0.028639, epoch loss=0.353932
Batch=719, step=18720, lr=0.122250, batch loss=0.039974, epoch loss=0.393906
Batch=779, step=18780, lr=0.122000, batch loss=0.097790, epoch loss=0.491696
Batch=839, step=18840, lr=0.121750, batch loss=0.058361, epoch loss=0.550057
Batch=899, step=18900, lr=0.121500, batch loss=0.071577, epoch loss=0.621633
Batch=959, step=18960, lr=0.121250, batch loss=0.014284, epoch loss=0.635917
Batch=1019, step=19020, lr=0.121000, batch loss=0.021216, epoch loss=0.657133
Batch=1079, step=19080, lr=0.120750, batch loss=0.007983, epoch loss=0.665116
Batch=1139, step=19140, lr=0.120500, batch loss=0.024111, epoch loss=0.689227
Batch=1199, step=19200, lr=0.120250, batch loss=0.009652, epoch loss=0.698879
Epoch=15, step=19200, lr=0.120250, epoch loss=0.698879
Batch=59, step=19260, lr=0.120000, batch loss=0.005099, epoch loss=0.005099
Batch=119, step=19320, lr=0.119750, batch loss=0.017384, epoch loss=0.022483
Batch=179, step=19380, lr=0.119500, batch loss=0.046109, epoch loss=0.068592
Batch=239, step=19440, lr=0.119250, batch loss=0.021217, epoch loss=0.089809
Batch=299, step=19500, lr=0.119000, batch loss=0.011909, epoch loss=0.101717
Batch=359, step=19560, lr=0.118750, batch loss=0.022888, epoch loss=0.124606
Batch=419, step=19620, lr=0.118500, batch loss=0.018934, epoch loss=0.143540
Batch=479, step=19680, lr=0.118250, batch loss=0.006486, epoch loss=0.150026
Batch=539, step=19740, lr=0.118000, batch loss=0.018647, epoch loss=0.168673
Batch=599, step=19800, lr=0.117750, batch loss=0.023902, epoch loss=0.192575
Batch=659, step=19860, lr=0.117500, batch loss=0.019934, epoch loss=0.212509
Batch=719, step=19920, lr=0.117250, batch loss=0.049953, epoch loss=0.262462
Batch=779, step=19980, lr=0.116750, batch loss=0.081064, epoch loss=0.343526
Batch=839, step=20040, lr=0.116750, batch loss=0.031228, epoch loss=0.374754
Batch=899, step=20100, lr=0.116500, batch loss=0.028657, epoch loss=0.403411
Batch=959, step=20160, lr=0.116250, batch loss=0.018224, epoch loss=0.421636
Batch=1019, step=20220, lr=0.116000, batch loss=0.023049, epoch loss=0.444685
Batch=1079, step=20280, lr=0.115750, batch loss=0.002454, epoch loss=0.447139
Batch=1139, step=20340, lr=0.115500, batch loss=0.014559, epoch loss=0.461698
Batch=1199, step=20400, lr=0.115250, batch loss=0.005849, epoch loss=0.467547
Epoch=16, step=20400, lr=0.115250, epoch loss=0.467547
Batch=59, step=20460, lr=0.115000, batch loss=0.003182, epoch loss=0.003182
Batch=119, step=20520, lr=0.114750, batch loss=0.010009, epoch loss=0.013191
Batch=179, step=20580, lr=0.114500, batch loss=0.025371, epoch loss=0.038562
Batch=239, step=20640, lr=0.114250, batch loss=0.013982, epoch loss=0.052544
Batch=299, step=20700, lr=0.114000, batch loss=0.004262, epoch loss=0.056806
Batch=359, step=20760, lr=0.113750, batch loss=0.015452, epoch loss=0.072259
Batch=419, step=20820, lr=0.113500, batch loss=0.015035, epoch loss=0.087294
Batch=479, step=20880, lr=0.113250, batch loss=0.004154, epoch loss=0.091448
Batch=539, step=20940, lr=0.113000, batch loss=0.015520, epoch loss=0.106968
Batch=599, step=21000, lr=0.112750, batch loss=0.018987, epoch loss=0.125955
Batch=659, step=21060, lr=0.112500, batch loss=0.014254, epoch loss=0.140209
Batch=719, step=21120, lr=0.112250, batch loss=0.042874, epoch loss=0.183083
Batch=779, step=21180, lr=0.112000, batch loss=0.069675, epoch loss=0.252757
Batch=839, step=21240, lr=0.111750, batch loss=0.025533, epoch loss=0.278291
Batch=899, step=21300, lr=0.111500, batch loss=0.027174, epoch loss=0.305464
Batch=959, step=21360, lr=0.111250, batch loss=0.009924, epoch loss=0.315388
Batch=1019, step=21420, lr=0.111000, batch loss=0.011778, epoch loss=0.327166
Batch=1079, step=21480, lr=0.110750, batch loss=0.000882, epoch loss=0.328049
Batch=1139, step=21540, lr=0.110500, batch loss=0.013096, epoch loss=0.341145
Batch=1199, step=21600, lr=0.110250, batch loss=0.005231, epoch loss=0.346376
Epoch=17, step=21600, lr=0.110250, epoch loss=0.346376
Batch=59, step=21660, lr=0.110000, batch loss=0.002518, epoch loss=0.002518
Batch=119, step=21720, lr=0.109750, batch loss=0.006579, epoch loss=0.009096
Batch=179, step=21780, lr=0.109500, batch loss=0.012423, epoch loss=0.021519
Batch=239, step=21840, lr=0.109250, batch loss=0.009156, epoch loss=0.030675
Batch=299, step=21900, lr=0.109000, batch loss=0.003010, epoch loss=0.033685
Batch=359, step=21960, lr=0.108750, batch loss=0.014795, epoch loss=0.048479
Batch=419, step=22020, lr=0.108500, batch loss=0.012911, epoch loss=0.061390
Batch=479, step=22080, lr=0.108250, batch loss=0.004611, epoch loss=0.066000
Batch=539, step=22140, lr=0.108000, batch loss=0.015085, epoch loss=0.081085
Batch=599, step=22200, lr=0.107750, batch loss=0.015688, epoch loss=0.096773
Batch=659, step=22260, lr=0.107500, batch loss=0.012930, epoch loss=0.109703
Batch=719, step=22320, lr=0.107250, batch loss=0.022081, epoch loss=0.131784
Batch=779, step=22380, lr=0.107000, batch loss=0.027897, epoch loss=0.159681
Batch=839, step=22440, lr=0.106750, batch loss=0.027780, epoch loss=0.187461
Batch=899, step=22500, lr=0.106500, batch loss=0.023833, epoch loss=0.211294
Batch=959, step=22560, lr=0.106250, batch loss=0.008803, epoch loss=0.220097
Batch=1019, step=22620, lr=0.106000, batch loss=0.009520, epoch loss=0.229617
Batch=1079, step=22680, lr=0.105750, batch loss=0.001867, epoch loss=0.231484
Batch=1139, step=22740, lr=0.105500, batch loss=0.011406, epoch loss=0.242890
Batch=1199, step=22800, lr=0.105250, batch loss=0.005073, epoch loss=0.247963
Epoch=18, step=22800, lr=0.105250, epoch loss=0.247963
Batch=59, step=22860, lr=0.105000, batch loss=0.002163, epoch loss=0.002163
Batch=119, step=22920, lr=0.104750, batch loss=0.005115, epoch loss=0.007278
Batch=179, step=22980, lr=0.104500, batch loss=0.011857, epoch loss=0.019135
Batch=239, step=23040, lr=0.104250, batch loss=0.008283, epoch loss=0.027418
Batch=299, step=23100, lr=0.104000, batch loss=0.004085, epoch loss=0.031503
Batch=359, step=23160, lr=0.103750, batch loss=0.011984, epoch loss=0.043488
Batch=419, step=23220, lr=0.103500, batch loss=0.010419, epoch loss=0.053906
Batch=479, step=23280, lr=0.103250, batch loss=0.003629, epoch loss=0.057536
Batch=539, step=23340, lr=0.103000, batch loss=0.015629, epoch loss=0.073165
Batch=599, step=23400, lr=0.102750, batch loss=0.013606, epoch loss=0.086771
Batch=659, step=23460, lr=0.102500, batch loss=0.011619, epoch loss=0.098390
Batch=719, step=23520, lr=0.102250, batch loss=0.012175, epoch loss=0.110565
Batch=779, step=23580, lr=0.102000, batch loss=0.023534, epoch loss=0.134099
Batch=839, step=23640, lr=0.101750, batch loss=0.024916, epoch loss=0.159015
Batch=899, step=23700, lr=0.101500, batch loss=0.021872, epoch loss=0.180888
Batch=959, step=23760, lr=0.101000, batch loss=0.008516, epoch loss=0.189403
Batch=1019, step=23820, lr=0.101000, batch loss=0.008079, epoch loss=0.197483
Batch=1079, step=23880, lr=0.100750, batch loss=0.000918, epoch loss=0.198400
Batch=1139, step=23940, lr=0.100500, batch loss=0.008882, epoch loss=0.207282
Batch=1199, step=24000, lr=0.100250, batch loss=0.004299, epoch loss=0.211581
Epoch=19, step=24000, lr=0.100250, epoch loss=0.211581


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
"/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1
2025-05-22 20:06.09: Job failed: Failed: Build failed