Organisationsahrefsocannl397418 ()ubuntu-24.10-5.3_opam-2.3

ubuntu-24.10-5.3_opam-2.3

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Code Copied

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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:ubuntu-24.10-5.3_opam-2.3)
Base: ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:0a25304cf4c0aa68b1e67b003574dfd823cf0db0583f5b689fa7519cb6d82941
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:ubuntu-24.10-ocaml-5.3@sha256:0a25304cf4c0aa68b1e67b003574dfd823cf0db0583f5b689fa7519cb6d82941
# ubuntu-24.10-5.3_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 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:ubuntu-24.10-ocaml-5.3@sha256:0a25304cf4c0aa68b1e67b003574dfd823cf0db0583f5b689fa7519cb6d82941-ubuntu-24.10-5.3_opam-2.3-63d0fa7caba437c680f3f62d33f451da"
2025-05-22 20:00.59: Using OBuilder spec:
((from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:0a25304cf4c0aa68b1e67b003574dfd823cf0db0583f5b689fa7519cb6d82941)
(comment ubuntu-24.10-5.3_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 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 20:01.03: Got resource from pool OCluster
Building on laodoke.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:ubuntu-24.10-ocaml-5.3@sha256:0a25304cf4c0aa68b1e67b003574dfd823cf0db0583f5b689fa7519cb6d82941)
2025-05-22 20:11.46 ---> using "059ab306d13dde6c096265de48f1244fa252a88f7cda19c990bdf6764d9b1b77" from cache


/: (comment ubuntu-24.10-5.3_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"))
2025-05-22 20:11.46 ---> using "8eafc6b0bab597e974d083037a42ed271ed402b8c190bd88df3ecd967438431a" 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 31 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=31 --global
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-22 20:11.46 ---> using "485ff6c642bc23d14e63e49934b6c82edf7b317b00a7e9fbbbae86365a2be086" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-139-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-05-22 20:11.46 ---> using "ab887dbb0cc88d825230f3aa2acf967ca5b314f787b839adf7f8a61ab82a89e1" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-22 20:11.46 ---> using "d1a8c68961392cfb32df5a5d4ae30de3c6bc539bd6e6c6e197e306d60d88d6ab" 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 20:11.46 ---> using "d28092168a70550c184404c74815b102fa4d3609bcc12c7a78bc0dfd1cb7b911" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-22 20:11.46 ---> saved as "28bcf7930cf49ddbd0bbc4855dcb6ee6c820a1857e83355fe5ddf87832ce6e08"


/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 20:11.51 ---> saved as "6ce1720a843598c31630e294343a52757692fd0515a98a6c895d91d12fba9250"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-22 20:11.52 ---> saved as "98ce0985861a47f01c46d550fbd9bd7dd46cf41a7c167f008cf614dadf5710da"


/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 "apt-get" "update"
- Hit:1 http://archive.ubuntu.com/ubuntu oracular InRelease
- Get:2 http://archive.ubuntu.com/ubuntu oracular-updates InRelease [126 kB]
- Get:3 http://security.ubuntu.com/ubuntu oracular-security InRelease [126 kB]
- Get:4 http://archive.ubuntu.com/ubuntu oracular-backports InRelease [126 kB]
- Get:5 http://archive.ubuntu.com/ubuntu oracular-updates/main amd64 Packages [534 kB]
- Get:6 http://archive.ubuntu.com/ubuntu oracular-updates/restricted amd64 Packages [312 kB]
- Get:7 http://archive.ubuntu.com/ubuntu oracular-updates/universe amd64 Packages [323 kB]
- Get:8 http://security.ubuntu.com/ubuntu oracular-security/multiverse amd64 Packages [11.8 kB]
- Get:9 http://security.ubuntu.com/ubuntu oracular-security/universe amd64 Packages [243 kB]
- Get:10 http://security.ubuntu.com/ubuntu oracular-security/restricted amd64 Packages [306 kB]
- Get:11 http://security.ubuntu.com/ubuntu oracular-security/main amd64 Packages [396 kB]
- Fetched 2504 kB in 1s (3579 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 ... 16145 files and directories currently installed.)
- Preparing to unpack .../libpkgconf3_1.8.1-3ubuntu1_amd64.deb ...
- Unpacking libpkgconf3:amd64 (1.8.1-3ubuntu1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../pkgconf-bin_1.8.1-3ubuntu1_amd64.deb ...
- Unpacking pkgconf-bin (1.8.1-3ubuntu1) ...
- Selecting previously unselected package pkgconf:amd64.
- Preparing to unpack .../pkgconf_1.8.1-3ubuntu1_amd64.deb ...
- Unpacking pkgconf:amd64 (1.8.1-3ubuntu1) ...
- Selecting previously unselected package pkg-config:amd64.
- Preparing to unpack .../pkg-config_1.8.1-3ubuntu1_amd64.deb ...
- Unpacking pkg-config:amd64 (1.8.1-3ubuntu1) ...
- 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 (1.8.1-3ubuntu1) ...
- Setting up pkgconf-bin (1.8.1-3ubuntu1) ...
- Setting up pkgconf:amd64 (1.8.1-3ubuntu1) ...
- Setting up pkg-config:amd64 (1.8.1-3ubuntu1) ...
- Processing triggers for libc-bin (2.40-1ubuntu3.1) ...
2025-05-22 20:12.19 ---> saved as "f87eda723391a90190d0c9cdc6650345d7a01ec03d4b3937a9428016757ee8e8"


/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 backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved base.v0.17.2  (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 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 dune.3.19.0, dune-configurator.3.19.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (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 ppxlib.0.35.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed mtime.2.1.0
-> installed uutf.1.0.4
-> installed fmt.0.10.0
-> 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 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 ppx_derivers.1.2.1
-> installed printbox.0.12
-> 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 ocaml-compiler-libs.v0.17.0
-> installed re.1.12.0
-> 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 variantslib.v0.17.0
-> installed fieldslib.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_here.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.2.0
-> 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)
2025-05-22 20:14.43 ---> saved as "70740b20f19206dfcdf836807f958cd5fddc8aa115512faa8b3718c23ea48df6"


/src: (copy (src .) (dst /src))
2025-05-22 20:14.45 ---> saved as "afa8c266659caf3f53f9bee33df6fd2e4f36cbe57ecd952be6a81db227e5d078"


/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
(cd _build/default/test_ppx && ./test_ppx_op_expected.exe)


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f7d6af23e5b7ab37de3fa19401ef3c41/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1caa10aa9343f680d2c06596b0a70234/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f7d6af23e5b7ab37de3fa19401ef3c41/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f7d6af23e5b7ab37de3fa19401ef3c41/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/f7d6af23e5b7ab37de3fa19401ef3c41/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f7d6af23e5b7ab37de3fa19401ef3c41/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/f7d6af23e5b7ab37de3fa19401ef3c41/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f7d6af23e5b7ab37de3fa19401ef3c41/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/f7d6af23e5b7ab37de3fa19401ef3c41/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/f7d6af23e5b7ab37de3fa19401ef3c41/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/f7d6af23e5b7ab37de3fa19401ef3c41/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f7d6af23e5b7ab37de3fa19401ef3c41/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/f7d6af23e5b7ab37de3fa19401ef3c41/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f7d6af23e5b7ab37de3fa19401ef3c41/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/f7d6af23e5b7ab37de3fa19401ef3c41/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f7d6af23e5b7ab37de3fa19401ef3c41/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/f7d6af23e5b7ab37de3fa19401ef3c41/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f7d6af23e5b7ab37de3fa19401ef3c41/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/f7d6af23e5b7ab37de3fa19401ef3c41/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f7d6af23e5b7ab37de3fa19401ef3c41/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/f7d6af23e5b7ab37de3fa19401ef3c41/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/f7d6af23e5b7ab37de3fa19401ef3c41/default/test/micrograd_demo.ml.corrected
diff --git a/_build/default/test/micrograd_demo.ml b/_build/.sandbox/f7d6af23e5b7ab37de3fa19401ef3c41/default/test/micrograd_demo.ml.corrected
index 77e46c6..ab81526 100644
--- a/_build/default/test/micrograd_demo.ml
+++ b/_build/.sandbox/f7d6af23e5b7ab37de3fa19401ef3c41/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/f7d6af23e5b7ab37de3fa19401ef3c41/default/test/hello_world_op.ml.corrected
diff --git a/_build/default/test/hello_world_op.ml b/_build/.sandbox/f7d6af23e5b7ab37de3fa19401ef3c41/default/test/hello_world_op.ml.corrected
index ba9d7ef..6bfa309 100644
--- a/_build/default/test/hello_world_op.ml
+++ b/_build/.sandbox/f7d6af23e5b7ab37de3fa19401ef3c41/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=0.199750, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379
Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630
Batch=239, step=240, lr=0.199250, batch loss=0.850854, epoch loss=35.616485
Batch=299, step=300, lr=0.198750, batch loss=1.448342, epoch loss=37.064827
Batch=359, step=360, lr=0.198750, batch loss=1.333968, epoch loss=38.398795
Batch=419, step=420, lr=0.198500, batch loss=0.616298, epoch loss=39.015092
Batch=479, step=480, lr=0.198250, batch loss=0.809647, epoch loss=39.824739
Batch=539, step=540, lr=0.198000, batch loss=0.711804, epoch loss=40.536544
Batch=599, step=600, lr=0.197750, batch loss=1.067621, epoch loss=41.604164
Batch=659, step=660, lr=0.197500, batch loss=0.482730, epoch loss=42.086894
Batch=719, step=720, lr=0.197250, batch loss=0.411195, epoch loss=42.498089
Batch=779, step=780, lr=0.197000, batch loss=0.469148, epoch loss=42.967237
Batch=839, step=840, lr=0.196750, batch loss=0.444138, epoch loss=43.411375
Batch=899, step=900, lr=0.196500, batch loss=0.382930, epoch loss=43.794306
Batch=959, step=960, lr=0.196250, batch loss=0.241060, epoch loss=44.035365
Batch=1019, step=1020, lr=0.196000, batch loss=0.453436, epoch loss=44.488802
Batch=1079, step=1080, lr=0.195750, batch loss=0.257694, epoch loss=44.746495
Batch=1139, step=1140, lr=0.195500, batch loss=0.341047, epoch loss=45.087542
Batch=1199, step=1200, lr=0.195250, batch loss=0.260909, epoch loss=45.348451
Epoch=0, step=1200, lr=0.195250, epoch loss=45.348451
Batch=59, step=1260, lr=0.195000, batch loss=0.261918, epoch loss=0.261918
Batch=119, step=1320, lr=0.194750, batch loss=0.206645, epoch loss=0.468563
Batch=179, step=1380, lr=0.194500, batch loss=0.247177, epoch loss=0.715740
Batch=239, step=1440, lr=0.194250, batch loss=0.352023, epoch loss=1.067762
Batch=299, step=1500, lr=0.193750, batch loss=0.236519, epoch loss=1.304282
Batch=359, step=1560, lr=0.193750, batch loss=0.311926, epoch loss=1.616208
Batch=419, step=1620, lr=0.193500, batch loss=0.310293, epoch loss=1.926501
Batch=479, step=1680, lr=0.193250, batch loss=0.276682, epoch loss=2.203182
Batch=539, step=1740, lr=0.193000, batch loss=0.211946, epoch loss=2.415128
Batch=599, step=1800, lr=0.192750, batch loss=0.258331, epoch loss=2.673459
Batch=659, step=1860, lr=0.192500, batch loss=0.369058, epoch loss=3.042516
Batch=719, step=1920, lr=0.192250, batch loss=0.357009, epoch loss=3.399525
Batch=779, step=1980, lr=0.192000, batch loss=0.382593, epoch loss=3.782118
Batch=839, step=2040, lr=0.191500, batch loss=0.341178, epoch loss=4.123296
Batch=899, step=2100, lr=0.191250, batch loss=0.297337, epoch loss=4.420633
Batch=959, step=2160, lr=0.191250, batch loss=0.221693, epoch loss=4.642326
Batch=1019, step=2220, lr=0.191000, batch loss=0.327972, epoch loss=4.970298
Batch=1079, step=2280, lr=0.190750, batch loss=0.198511, epoch loss=5.168809
Batch=1139, step=2340, lr=0.190500, batch loss=0.269913, epoch loss=5.438722
Batch=1199, step=2400, lr=0.190250, batch loss=0.216296, epoch loss=5.655018
Epoch=1, step=2400, lr=0.190250, epoch loss=5.655018
Batch=59, step=2460, lr=0.190000, batch loss=0.227146, epoch loss=0.227146
Batch=119, step=2520, lr=0.189500, batch loss=0.185876, epoch loss=0.413022
Batch=179, step=2580, lr=0.189250, batch loss=0.217954, epoch loss=0.630976
Batch=239, step=2640, lr=0.189250, batch loss=0.327806, epoch loss=0.958783
Batch=299, step=2700, lr=0.189000, batch loss=0.219404, epoch loss=1.178187
Batch=359, step=2760, lr=0.188750, batch loss=0.299348, epoch loss=1.477535
Batch=419, step=2820, lr=0.188500, batch loss=0.294324, epoch loss=1.771859
Batch=479, step=2880, lr=0.188250, batch loss=0.275400, epoch loss=2.047259
Batch=539, step=2940, lr=0.188000, batch loss=0.205879, epoch loss=2.253138
Batch=599, step=3000, lr=0.187750, batch loss=0.257785, epoch loss=2.510924
Batch=659, step=3060, lr=0.187500, batch loss=0.349324, epoch loss=2.860247
Batch=719, step=3120, lr=0.187250, batch loss=0.347939, epoch loss=3.208186
Batch=779, step=3180, lr=0.187000, batch loss=0.363164, epoch loss=3.571350
Batch=839, step=3240, lr=0.186750, batch loss=0.325690, epoch loss=3.897040
Batch=899, step=3300, lr=0.186500, batch loss=0.294742, epoch loss=4.191782
Batch=959, step=3360, lr=0.186250, batch loss=0.228767, epoch loss=4.420549
Batch=1019, step=3420, lr=0.186000, batch loss=0.338788, epoch loss=4.759337
Batch=1079, step=3480, lr=0.185750, batch loss=0.194597, epoch loss=4.953933
Batch=1139, step=3540, lr=0.185500, batch loss=0.245148, epoch loss=5.199082
Batch=1199, step=3600, lr=0.185250, batch loss=0.199342, epoch loss=5.398424
Epoch=2, step=3600, lr=0.185250, epoch loss=5.398424
Batch=59, step=3660, lr=0.185000, batch loss=0.225663, epoch loss=0.225663
Batch=119, step=3720, lr=0.184750, batch loss=0.189736, epoch loss=0.415399
Batch=179, step=3780, lr=0.184500, batch loss=0.211727, epoch loss=0.627126
Batch=239, step=3840, lr=0.184250, batch loss=0.315662, epoch loss=0.942788
Batch=299, step=3900, lr=0.184000, batch loss=0.207523, epoch loss=1.150311
Batch=359, step=3960, lr=0.183750, batch loss=0.285845, epoch loss=1.436156
Batch=419, step=4020, lr=0.183500, batch loss=0.279733, epoch loss=1.715889
Batch=479, step=4080, lr=0.183250, batch loss=0.254340, epoch loss=1.970229
Batch=539, step=4140, lr=0.183000, batch loss=0.202477, epoch loss=2.172706
Batch=599, step=4200, lr=0.182750, batch loss=0.252724, epoch loss=2.425430
Batch=659, step=4260, lr=0.182500, batch loss=0.333569, epoch loss=2.758999
Batch=719, step=4320, lr=0.182250, batch loss=0.337620, epoch loss=3.096619
Batch=779, step=4380, lr=0.182000, batch loss=0.353794, epoch loss=3.450413
Batch=839, step=4440, lr=0.181750, batch loss=0.315897, epoch loss=3.766310
Batch=899, step=4500, lr=0.181500, batch loss=0.287555, epoch loss=4.053865
Batch=959, step=4560, lr=0.181000, batch loss=0.246950, epoch loss=4.300816
Batch=1019, step=4620, lr=0.181000, batch loss=0.350206, epoch loss=4.651022
Batch=1079, step=4680, lr=0.180750, batch loss=0.209148, epoch loss=4.860169
Batch=1139, step=4740, lr=0.180500, batch loss=0.246341, epoch loss=5.106510
Batch=1199, step=4800, lr=0.180000, batch loss=0.192534, epoch loss=5.299044
Epoch=3, step=4800, lr=0.180000, epoch loss=5.299044
Batch=59, step=4860, lr=0.180000, batch loss=0.229421, epoch loss=0.229421
Batch=119, step=4920, lr=0.179750, batch loss=0.188581, epoch loss=0.418002
Batch=179, step=4980, lr=0.179500, batch loss=0.206519, epoch loss=0.624521
Batch=239, step=5040, lr=0.179250, batch loss=0.307692, epoch loss=0.932213
Batch=299, step=5100, lr=0.179000, batch loss=0.201587, epoch loss=1.133800
Batch=359, step=5160, lr=0.178750, batch loss=0.274097, epoch loss=1.407897
Batch=419, step=5220, lr=0.178500, batch loss=0.265135, epoch loss=1.673032
Batch=479, step=5280, lr=0.178250, batch loss=0.241397, epoch loss=1.914429
Batch=539, step=5340, lr=0.177750, batch loss=0.191803, epoch loss=2.106231
Batch=599, step=5400, lr=0.177750, batch loss=0.229846, epoch loss=2.336077
Batch=659, step=5460, lr=0.177500, batch loss=0.325502, epoch loss=2.661579
Batch=719, step=5520, lr=0.177250, batch loss=0.332541, epoch loss=2.994120
Batch=779, step=5580, lr=0.177000, batch loss=0.342864, epoch loss=3.336983
Batch=839, step=5640, lr=0.176750, batch loss=0.309580, epoch loss=3.646564
Batch=899, step=5700, lr=0.176500, batch loss=0.273492, epoch loss=3.920055
Batch=959, step=5760, lr=0.176250, batch loss=0.214318, epoch loss=4.134374
Batch=1019, step=5820, lr=0.176000, batch loss=0.335407, epoch loss=4.469781
Batch=1079, step=5880, lr=0.175750, batch loss=0.190125, epoch loss=4.659906
Batch=1139, step=5940, lr=0.175500, batch loss=0.221681, epoch loss=4.881587
Batch=1199, step=6000, lr=0.175250, batch loss=0.186861, epoch loss=5.068448
Epoch=4, step=6000, lr=0.175250, epoch loss=5.068448
Batch=59, step=6060, lr=0.175000, batch loss=0.223890, epoch loss=0.223890
Batch=119, step=6120, lr=0.174750, batch loss=0.186354, epoch loss=0.410244
Batch=179, step=6180, lr=0.174500, batch loss=0.200866, epoch loss=0.611110
Batch=239, step=6240, lr=0.174250, batch loss=0.299605, epoch loss=0.910715
Batch=299, step=6300, lr=0.174000, batch loss=0.206560, epoch loss=1.117274
Batch=359, step=6360, lr=0.173750, batch loss=0.267280, epoch loss=1.384554
Batch=419, step=6420, lr=0.173500, batch loss=0.264405, epoch loss=1.648959
Batch=479, step=6480, lr=0.173250, batch loss=0.245216, epoch loss=1.894175
Batch=539, step=6540, lr=0.173000, batch loss=0.192009, epoch loss=2.086184
Batch=599, step=6600, lr=0.172750, batch loss=0.230662, epoch loss=2.316846
Batch=659, step=6660, lr=0.172500, batch loss=0.314277, epoch loss=2.631123
Batch=719, step=6720, lr=0.172250, batch loss=0.316669, epoch loss=2.947792
Batch=779, step=6780, lr=0.172000, batch loss=0.330501, epoch loss=3.278293
Batch=839, step=6840, lr=0.171750, batch loss=0.305898, epoch loss=3.584191
Batch=899, step=6900, lr=0.171250, batch loss=0.265058, epoch loss=3.849249
Batch=959, step=6960, lr=0.171250, batch loss=0.218639, epoch loss=4.067888
Batch=1019, step=7020, lr=0.171000, batch loss=0.322717, epoch loss=4.390604
Batch=1079, step=7080, lr=0.170750, batch loss=0.177781, epoch loss=4.568385
Batch=1139, step=7140, lr=0.170500, batch loss=0.213832, epoch loss=4.782216
Batch=1199, step=7200, lr=0.170250, batch loss=0.183146, epoch loss=4.965362
Epoch=5, step=7200, lr=0.170250, epoch loss=4.965362
Batch=59, step=7260, lr=0.170000, batch loss=0.240895, epoch loss=0.240895
Batch=119, step=7320, lr=0.169750, batch loss=0.179856, epoch loss=0.420751
Batch=179, step=7380, lr=0.169500, batch loss=0.194852, epoch loss=0.615603
Batch=239, step=7440, lr=0.169250, batch loss=0.291700, epoch loss=0.907303
Batch=299, step=7500, lr=0.169000, batch loss=0.204262, epoch loss=1.111564
Batch=359, step=7560, lr=0.168750, batch loss=0.256577, epoch loss=1.368141
Batch=419, step=7620, lr=0.168500, batch loss=0.258758, epoch loss=1.626899
Batch=479, step=7680, lr=0.168250, batch loss=0.235264, epoch loss=1.862163
Batch=539, step=7740, lr=0.168000, batch loss=0.190369, epoch loss=2.052532
Batch=599, step=7800, lr=0.167750, batch loss=0.229295, epoch loss=2.281827
Batch=659, step=7860, lr=0.167500, batch loss=0.304574, epoch loss=2.586402
Batch=719, step=7920, lr=0.167250, batch loss=0.309238, epoch loss=2.895640
Batch=779, step=7980, lr=0.167000, batch loss=0.328485, epoch loss=3.224124
Batch=839, step=8040, lr=0.166750, batch loss=0.291794, epoch loss=3.515918
Batch=899, step=8100, lr=0.166250, batch loss=0.262882, epoch loss=3.778800
Batch=959, step=8160, lr=0.166250, batch loss=0.197752, epoch loss=3.976552
Batch=1019, step=8220, lr=0.166000, batch loss=0.324856, epoch loss=4.301408
Batch=1079, step=8280, lr=0.165750, batch loss=0.186296, epoch loss=4.487703
Batch=1139, step=8340, lr=0.165500, batch loss=0.220688, epoch loss=4.708391
Batch=1199, step=8400, lr=0.165250, batch loss=0.174174, epoch loss=4.882565
Epoch=6, step=8400, lr=0.165250, epoch loss=4.882565
Batch=59, step=8460, lr=0.165000, batch loss=0.211964, epoch loss=0.211964
Batch=119, step=8520, lr=0.164750, batch loss=0.172639, epoch loss=0.384603
Batch=179, step=8580, lr=0.164500, batch loss=0.188950, epoch loss=0.573553
Batch=239, step=8640, lr=0.164250, batch loss=0.280417, epoch loss=0.853970
Batch=299, step=8700, lr=0.164000, batch loss=0.190841, epoch loss=1.044811
Batch=359, step=8760, lr=0.163500, batch loss=0.250205, epoch loss=1.295016
Batch=419, step=8820, lr=0.163500, batch loss=0.245780, epoch loss=1.540796
Batch=479, step=8880, lr=0.163000, batch loss=0.229646, epoch loss=1.770442
Batch=539, step=8940, lr=0.163000, batch loss=0.178087, epoch loss=1.948528
Batch=599, step=9000, lr=0.162750, batch loss=0.218551, epoch loss=2.167079
Batch=659, step=9060, lr=0.162500, batch loss=0.295644, epoch loss=2.462723
Batch=719, step=9120, lr=0.162250, batch loss=0.296648, epoch loss=2.759372
Batch=779, step=9180, lr=0.162000, batch loss=0.316563, epoch loss=3.075934
Batch=839, step=9240, lr=0.161750, batch loss=0.288353, epoch loss=3.364287
Batch=899, step=9300, lr=0.161500, batch loss=0.251361, epoch loss=3.615648
Batch=959, step=9360, lr=0.161250, batch loss=0.190785, epoch loss=3.806434
Batch=1019, step=9420, lr=0.161000, batch loss=0.315569, epoch loss=4.122003
Batch=1079, step=9480, lr=0.160750, batch loss=0.188096, epoch loss=4.310099
Batch=1139, step=9540, lr=0.160500, batch loss=0.212447, epoch loss=4.522546
Batch=1199, step=9600, lr=0.160250, batch loss=0.167514, epoch loss=4.690060
Epoch=7, step=9600, lr=0.160250, epoch loss=4.690060
Batch=59, step=9660, lr=0.160000, batch loss=0.203891, epoch loss=0.203891
Batch=119, step=9720, lr=0.159750, batch loss=0.169498, epoch loss=0.373388
Batch=179, step=9780, lr=0.159500, batch loss=0.180116, epoch loss=0.553504
Batch=239, step=9840, lr=0.159250, batch loss=0.262944, epoch loss=0.816448
Batch=299, step=9900, lr=0.159000, batch loss=0.186926, epoch loss=1.003374
Batch=359, step=9960, lr=0.158750, batch loss=0.240469, epoch loss=1.243843
Batch=419, step=10020, lr=0.158500, batch loss=0.233629, epoch loss=1.477472
Batch=479, step=10080, lr=0.158250, batch loss=0.215194, epoch loss=1.692666
Batch=539, step=10140, lr=0.158000, batch loss=0.170955, epoch loss=1.863621
Batch=599, step=10200, lr=0.157750, batch loss=0.202469, epoch loss=2.066090
Batch=659, step=10260, lr=0.157500, batch loss=0.282938, epoch loss=2.349028
Batch=719, step=10320, lr=0.157250, batch loss=0.280976, epoch loss=2.630004
Batch=779, step=10380, lr=0.157000, batch loss=0.300242, epoch loss=2.930246
Batch=839, step=10440, lr=0.156750, batch loss=0.273133, epoch loss=3.203379
Batch=899, step=10500, lr=0.156500, batch loss=0.239455, epoch loss=3.442834
Batch=959, step=10560, lr=0.156000, batch loss=0.200595, epoch loss=3.643429
Batch=1019, step=10620, lr=0.156000, batch loss=0.280488, epoch loss=3.923918
Batch=1079, step=10680, lr=0.155750, batch loss=0.149936, epoch loss=4.073853
Batch=1139, step=10740, lr=0.155500, batch loss=0.181981, epoch loss=4.255834
Batch=1199, step=10800, lr=0.155250, batch loss=0.165250, epoch loss=4.421084
Epoch=8, step=10800, lr=0.155250, epoch loss=4.421084
Batch=59, step=10860, lr=0.155000, batch loss=0.192189, epoch loss=0.192189
Batch=119, step=10920, lr=0.154750, batch loss=0.164391, epoch loss=0.356580
Batch=179, step=10980, lr=0.154250, batch loss=0.166924, epoch loss=0.523504
Batch=239, step=11040, lr=0.154250, batch loss=0.244303, epoch loss=0.767807
Batch=299, step=11100, lr=0.154000, batch loss=0.168343, epoch loss=0.936151
Batch=359, step=11160, lr=0.153500, batch loss=0.222939, epoch loss=1.159090
Batch=419, step=11220, lr=0.153500, batch loss=0.219053, epoch loss=1.378143
Batch=479, step=11280, lr=0.153250, batch loss=0.211593, epoch loss=1.589736
Batch=539, step=11340, lr=0.153000, batch loss=0.165722, epoch loss=1.755458
Batch=599, step=11400, lr=0.152750, batch loss=0.180797, epoch loss=1.936255
Batch=659, step=11460, lr=0.152500, batch loss=0.266331, epoch loss=2.202587
Batch=719, step=11520, lr=0.152250, batch loss=0.261616, epoch loss=2.464202
Batch=779, step=11580, lr=0.152000, batch loss=0.273635, epoch loss=2.737837
Batch=839, step=11640, lr=0.151750, batch loss=0.251185, epoch loss=2.989022
Batch=899, step=11700, lr=0.151500, batch loss=0.220253, epoch loss=3.209275
Batch=959, step=11760, lr=0.151000, batch loss=0.186876, epoch loss=3.396152
Batch=1019, step=11820, lr=0.151000, batch loss=0.277061, epoch loss=3.673213
Batch=1079, step=11880, lr=0.150750, batch loss=0.149643, epoch loss=3.822856
Batch=1139, step=11940, lr=0.150500, batch loss=0.180550, epoch loss=4.003406
Batch=1199, step=12000, lr=0.150250, batch loss=0.141206, epoch loss=4.144612
Epoch=9, step=12000, lr=0.150250, epoch loss=4.144612
Batch=59, step=12060, lr=0.150000, batch loss=0.163165, epoch loss=0.163165
Batch=119, step=12120, lr=0.149750, batch loss=0.136980, epoch loss=0.300145
Batch=179, step=12180, lr=0.149500, batch loss=0.152020, epoch loss=0.452165
Batch=239, step=12240, lr=0.149250, batch loss=0.220984, epoch loss=0.673149
Batch=299, step=12300, lr=0.149000, batch loss=0.143844, epoch loss=0.816993
Batch=359, step=12360, lr=0.148750, batch loss=0.198397, epoch loss=1.015391
Batch=419, step=12420, lr=0.148500, batch loss=0.208012, epoch loss=1.223403
Batch=479, step=12480, lr=0.148250, batch loss=0.180196, epoch loss=1.403599
Batch=539, step=12540, lr=0.147750, batch loss=0.143262, epoch loss=1.546860
Batch=599, step=12600, lr=0.147750, batch loss=0.150087, epoch loss=1.696947
Batch=659, step=12660, lr=0.147250, batch loss=0.228936, epoch loss=1.925883
Batch=719, step=12720, lr=0.147250, batch loss=0.242172, epoch loss=2.168055
Batch=779, step=12780, lr=0.146750, batch loss=0.264758, epoch loss=2.432812
Batch=839, step=12840, lr=0.146750, batch loss=0.237891, epoch loss=2.670703
Batch=899, step=12900, lr=0.146500, batch loss=0.204984, epoch loss=2.875687
Batch=959, step=12960, lr=0.146250, batch loss=0.151384, epoch loss=3.027071
Batch=1019, step=13020, lr=0.146000, batch loss=0.271056, epoch loss=3.298127
Batch=1079, step=13080, lr=0.145500, batch loss=0.110411, epoch loss=3.408538
Batch=1139, step=13140, lr=0.145500, batch loss=0.152098, epoch loss=3.560635
Batch=1199, step=13200, lr=0.145250, batch loss=0.119214, epoch loss=3.679849
Epoch=10, step=13200, lr=0.145250, epoch loss=3.679849
Batch=59, step=13260, lr=0.145000, batch loss=0.139299, epoch loss=0.139299
Batch=119, step=13320, lr=0.144750, batch loss=0.118187, epoch loss=0.257486
Batch=179, step=13380, lr=0.144500, batch loss=0.129916, epoch loss=0.387401
Batch=239, step=13440, lr=0.144250, batch loss=0.186724, epoch loss=0.574125
Batch=299, step=13500, lr=0.144000, batch loss=0.121994, epoch loss=0.696119
Batch=359, step=13560, lr=0.143750, batch loss=0.164482, epoch loss=0.860601
Batch=419, step=13620, lr=0.143500, batch loss=0.163711, epoch loss=1.024312
Batch=479, step=13680, lr=0.143250, batch loss=0.147335, epoch loss=1.171647
Batch=539, step=13740, lr=0.142750, batch loss=0.121067, epoch loss=1.292714
Batch=599, step=13800, lr=0.142750, batch loss=0.121986, epoch loss=1.414701
Batch=659, step=13860, lr=0.142500, batch loss=0.179717, epoch loss=1.594418
Batch=719, step=13920, lr=0.142250, batch loss=0.179391, epoch loss=1.773809
Batch=779, step=13980, lr=0.142000, batch loss=0.200517, epoch loss=1.974325
Batch=839, step=14040, lr=0.141750, batch loss=0.186342, epoch loss=2.160667
Batch=899, step=14100, lr=0.141500, batch loss=0.163567, epoch loss=2.324235
Batch=959, step=14160, lr=0.141250, batch loss=0.158001, epoch loss=2.482236
Batch=1019, step=14220, lr=0.141000, batch loss=0.377961, epoch loss=2.860196
Batch=1079, step=14280, lr=0.140750, batch loss=0.075377, epoch loss=2.935573
Batch=1139, step=14340, lr=0.140500, batch loss=0.128468, epoch loss=3.064042
Batch=1199, step=14400, lr=0.140250, batch loss=0.097015, epoch loss=3.161057
Epoch=11, step=14400, lr=0.140250, epoch loss=3.161057
Batch=59, step=14460, lr=0.140000, batch loss=0.122449, epoch loss=0.122449
Batch=119, step=14520, lr=0.139500, batch loss=0.107695, epoch loss=0.230144
Batch=179, step=14580, lr=0.139500, batch loss=0.109235, epoch loss=0.339379
Batch=239, step=14640, lr=0.139250, batch loss=0.146525, epoch loss=0.485903
Batch=299, step=14700, lr=0.138750, batch loss=0.082038, epoch loss=0.567941
Batch=359, step=14760, lr=0.138750, batch loss=0.122723, epoch loss=0.690664
Batch=419, step=14820, lr=0.138500, batch loss=0.130626, epoch loss=0.821290
Batch=479, step=14880, lr=0.138250, batch loss=0.102344, epoch loss=0.923633
Batch=539, step=14940, lr=0.138000, batch loss=0.089866, epoch loss=1.013500
Batch=599, step=15000, lr=0.137750, batch loss=0.088555, epoch loss=1.102055
Batch=659, step=15060, lr=0.137500, batch loss=0.136974, epoch loss=1.239029
Batch=719, step=15120, lr=0.137250, batch loss=0.163757, epoch loss=1.402786
Batch=779, step=15180, lr=0.137000, batch loss=0.255077, epoch loss=1.657862
Batch=839, step=15240, lr=0.136750, batch loss=0.134692, epoch loss=1.792554
Batch=899, step=15300, lr=0.136500, batch loss=0.137161, epoch loss=1.929715
Batch=959, step=15360, lr=0.136250, batch loss=0.089365, epoch loss=2.019081
Batch=1019, step=15420, lr=0.136000, batch loss=0.154455, epoch loss=2.173536
Batch=1079, step=15480, lr=0.135750, batch loss=0.053731, epoch loss=2.227267
Batch=1139, step=15540, lr=0.135500, batch loss=0.102882, epoch loss=2.330149
Batch=1199, step=15600, lr=0.135250, batch loss=0.060820, epoch loss=2.390970
Epoch=12, step=15600, lr=0.135250, epoch loss=2.390970
Batch=59, step=15660, lr=0.135000, batch loss=0.092768, epoch loss=0.092768
Batch=119, step=15720, lr=0.134750, batch loss=0.146813, epoch loss=0.239581
Batch=179, step=15780, lr=0.134500, batch loss=0.104695, epoch loss=0.344275
Batch=239, step=15840, lr=0.134250, batch loss=0.103984, epoch loss=0.448259
Batch=299, step=15900, lr=0.134000, batch loss=0.044223, epoch loss=0.492483
Batch=359, step=15960, lr=0.133750, batch loss=0.087088, epoch loss=0.579571
Batch=419, step=16020, lr=0.133500, batch loss=0.081577, epoch loss=0.661148
Batch=479, step=16080, lr=0.133250, batch loss=0.058362, epoch loss=0.719510
Batch=539, step=16140, lr=0.133000, batch loss=0.067994, epoch loss=0.787505
Batch=599, step=16200, lr=0.132750, batch loss=0.147955, epoch loss=0.935459
Batch=659, step=16260, lr=0.132500, batch loss=0.089447, epoch loss=1.024906
Batch=719, step=16320, lr=0.132250, batch loss=0.142144, epoch loss=1.167051
Batch=779, step=16380, lr=0.131750, batch loss=0.315118, epoch loss=1.482169
Batch=839, step=16440, lr=0.131750, batch loss=0.101974, epoch loss=1.584142
Batch=899, step=16500, lr=0.131500, batch loss=0.090821, epoch loss=1.674963
Batch=959, step=16560, lr=0.131250, batch loss=0.035541, epoch loss=1.710504
Batch=1019, step=16620, lr=0.130750, batch loss=0.064329, epoch loss=1.774832
Batch=1079, step=16680, lr=0.130750, batch loss=0.054160, epoch loss=1.828993
Batch=1139, step=16740, lr=0.130500, batch loss=0.091044, epoch loss=1.920037
Batch=1199, step=16800, lr=0.130250, batch loss=0.043978, epoch loss=1.964015
Epoch=13, step=16800, lr=0.130250, epoch loss=1.964015
Batch=59, step=16860, lr=0.129750, batch loss=0.037554, epoch loss=0.037554
Batch=119, step=16920, lr=0.129750, batch loss=0.038395, epoch loss=0.075949
Batch=179, step=16980, lr=0.129500, batch loss=0.045965, epoch loss=0.121913
Batch=239, step=17040, lr=0.129250, batch loss=0.062501, epoch loss=0.184415
Batch=299, step=17100, lr=0.129000, batch loss=0.020709, epoch loss=0.205123
Batch=359, step=17160, lr=0.128500, batch loss=0.045244, epoch loss=0.250367
Batch=419, step=17220, lr=0.128500, batch loss=0.067245, epoch loss=0.317612
Batch=479, step=17280, lr=0.128250, batch loss=0.025020, epoch loss=0.342632
Batch=539, step=17340, lr=0.128000, batch loss=0.029017, epoch loss=0.371649
Batch=599, step=17400, lr=0.127750, batch loss=0.037884, epoch loss=0.409533
Batch=659, step=17460, lr=0.127500, batch loss=0.054848, epoch loss=0.464381
Batch=719, step=17520, lr=0.127000, batch loss=0.071053, epoch loss=0.535434
Batch=779, step=17580, lr=0.127000, batch loss=0.069166, epoch loss=0.604600
Batch=839, step=17640, lr=0.126750, batch loss=0.101782, epoch loss=0.706382
Batch=899, step=17700, lr=0.126500, batch loss=0.052037, epoch loss=0.758419
Batch=959, step=17760, lr=0.126250, batch loss=0.018801, epoch loss=0.777220
Batch=1019, step=17820, lr=0.126000, batch loss=0.028359, epoch loss=0.805578
Batch=1079, step=17880, lr=0.125750, batch loss=0.023730, epoch loss=0.829308
Batch=1139, step=17940, lr=0.125500, batch loss=0.054930, epoch loss=0.884239
Batch=1199, step=18000, lr=0.125000, batch loss=0.021646, epoch loss=0.905885
Epoch=14, step=18000, lr=0.125000, epoch loss=0.905885
Batch=59, step=18060, lr=0.125000, batch loss=0.013636, epoch loss=0.013636
Batch=119, step=18120, lr=0.124500, batch loss=0.020693, epoch loss=0.034329
Batch=179, step=18180, lr=0.124500, batch loss=0.030312, epoch loss=0.064642
Batch=239, step=18240, lr=0.124250, batch loss=0.035522, epoch loss=0.100163
Batch=299, step=18300, lr=0.124000, batch loss=0.010290, epoch loss=0.110453
Batch=359, step=18360, lr=0.123750, batch loss=0.025752, epoch loss=0.136206
Batch=419, step=18420, lr=0.123500, batch loss=0.041881, epoch loss=0.178086
Batch=479, step=18480, lr=0.123250, batch loss=0.016504, epoch loss=0.194590
Batch=539, step=18540, lr=0.123000, batch loss=0.022845, epoch loss=0.217435
Batch=599, step=18600, lr=0.122750, batch loss=0.028299, epoch loss=0.245734
Batch=659, step=18660, lr=0.122500, batch loss=0.035059, epoch loss=0.280793
Batch=719, step=18720, lr=0.122250, batch loss=0.065917, epoch loss=0.346710
Batch=779, step=18780, lr=0.121750, batch loss=0.044995, epoch loss=0.391705
Batch=839, step=18840, lr=0.121500, batch loss=0.078914, epoch loss=0.470620
Batch=899, step=18900, lr=0.121500, batch loss=0.036034, epoch loss=0.506654
Batch=959, step=18960, lr=0.121000, batch loss=0.013680, epoch loss=0.520334
Batch=1019, step=19020, lr=0.121000, batch loss=0.025350, epoch loss=0.545684
Batch=1079, step=19080, lr=0.120750, batch loss=0.014747, epoch loss=0.560430
Batch=1139, step=19140, lr=0.120500, batch loss=0.028784, epoch loss=0.589215
Batch=1199, step=19200, lr=0.120250, batch loss=0.012095, epoch loss=0.601310
Epoch=15, step=19200, lr=0.120250, epoch loss=0.601310
Batch=59, step=19260, lr=0.120000, batch loss=0.011548, epoch loss=0.011548
Batch=119, step=19320, lr=0.119750, batch loss=0.026432, epoch loss=0.037980
Batch=179, step=19380, lr=0.119500, batch loss=0.073533, epoch loss=0.111513
Batch=239, step=19440, lr=0.119250, batch loss=0.030395, epoch loss=0.141908
Batch=299, step=19500, lr=0.119000, batch loss=0.016819, epoch loss=0.158727
Batch=359, step=19560, lr=0.118750, batch loss=0.041902, epoch loss=0.200629
Batch=419, step=19620, lr=0.118500, batch loss=0.022443, epoch loss=0.223072
Batch=479, step=19680, lr=0.118250, batch loss=0.006422, epoch loss=0.229494
Batch=539, step=19740, lr=0.118000, batch loss=0.024124, epoch loss=0.253617
Batch=599, step=19800, lr=0.117750, batch loss=0.030988, epoch loss=0.284606
Batch=659, step=19860, lr=0.117500, batch loss=0.019993, epoch loss=0.304599
Batch=719, step=19920, lr=0.117000, batch loss=0.038536, epoch loss=0.343135
Batch=779, step=19980, lr=0.116750, batch loss=0.081045, epoch loss=0.424180
Batch=839, step=20040, lr=0.116750, batch loss=0.032475, epoch loss=0.456654
Batch=899, step=20100, lr=0.116500, batch loss=0.029631, epoch loss=0.486285
Batch=959, step=20160, lr=0.116250, batch loss=0.013387, epoch loss=0.499672
Batch=1019, step=20220, lr=0.116000, batch loss=0.017196, epoch loss=0.516868
Batch=1079, step=20280, lr=0.115750, batch loss=0.002740, epoch loss=0.519608
Batch=1139, step=20340, lr=0.115500, batch loss=0.015086, epoch loss=0.534694
Batch=1199, step=20400, lr=0.115250, batch loss=0.008370, epoch loss=0.543064
Epoch=16, step=20400, lr=0.115250, epoch loss=0.543064
Batch=59, step=20460, lr=0.115000, batch loss=0.004601, epoch loss=0.004601
Batch=119, step=20520, lr=0.114750, batch loss=0.012011, epoch loss=0.016612
Batch=179, step=20580, lr=0.114500, batch loss=0.026627, epoch loss=0.043239
Batch=239, step=20640, lr=0.114250, batch loss=0.015576, epoch loss=0.058815
Batch=299, step=20700, lr=0.114000, batch loss=0.003473, epoch loss=0.062288
Batch=359, step=20760, lr=0.113750, batch loss=0.013567, epoch loss=0.075856
Batch=419, step=20820, lr=0.113500, batch loss=0.016536, epoch loss=0.092392
Batch=479, step=20880, lr=0.113250, batch loss=0.006338, epoch loss=0.098729
Batch=539, step=20940, lr=0.113000, batch loss=0.015658, epoch loss=0.114388
Batch=599, step=21000, lr=0.112500, batch loss=0.020334, epoch loss=0.134722
Batch=659, step=21060, lr=0.112500, batch loss=0.016172, epoch loss=0.150894
Batch=719, step=21120, lr=0.112000, batch loss=0.031169, epoch loss=0.182064
Batch=779, step=21180, lr=0.111750, batch loss=0.047835, epoch loss=0.229899
Batch=839, step=21240, lr=0.111750, batch loss=0.027606, epoch loss=0.257504
Batch=899, step=21300, lr=0.111500, batch loss=0.027467, epoch loss=0.284972
Batch=959, step=21360, lr=0.111250, batch loss=0.015807, epoch loss=0.300778
Batch=1019, step=21420, lr=0.111000, batch loss=0.014146, epoch loss=0.314924
Batch=1079, step=21480, lr=0.110750, batch loss=0.002551, epoch loss=0.317475
Batch=1139, step=21540, lr=0.110500, batch loss=0.012746, epoch loss=0.330221
Batch=1199, step=21600, lr=0.110250, batch loss=0.005305, epoch loss=0.335526
Epoch=17, step=21600, lr=0.110250, epoch loss=0.335526
Batch=59, step=21660, lr=0.110000, batch loss=0.003115, epoch loss=0.003115
Batch=119, step=21720, lr=0.109500, batch loss=0.007218, epoch loss=0.010333
Batch=179, step=21780, lr=0.109500, batch loss=0.012861, epoch loss=0.023194
Batch=239, step=21840, lr=0.109000, batch loss=0.011471, epoch loss=0.034665
Batch=299, step=21900, lr=0.108750, batch loss=0.013780, epoch loss=0.048445
Batch=359, step=21960, lr=0.108750, batch loss=0.016486, epoch loss=0.064932
Batch=419, step=22020, lr=0.108500, batch loss=0.013336, epoch loss=0.078267
Batch=479, step=22080, lr=0.108250, batch loss=0.002950, epoch loss=0.081217
Batch=539, step=22140, lr=0.108000, batch loss=0.018186, epoch loss=0.099403
Batch=599, step=22200, lr=0.107750, batch loss=0.016373, epoch loss=0.115777
Batch=659, step=22260, lr=0.107500, batch loss=0.012220, epoch loss=0.127997
Batch=719, step=22320, lr=0.107250, batch loss=0.023808, epoch loss=0.151805
Batch=779, step=22380, lr=0.107000, batch loss=0.043195, epoch loss=0.195000
Batch=839, step=22440, lr=0.106750, batch loss=0.022297, epoch loss=0.217296
Batch=899, step=22500, lr=0.106250, batch loss=0.023005, epoch loss=0.240301
Batch=959, step=22560, lr=0.106250, batch loss=0.011337, epoch loss=0.251638
Batch=1019, step=22620, lr=0.106000, batch loss=0.009438, epoch loss=0.261076
Batch=1079, step=22680, lr=0.105750, batch loss=0.000088, epoch loss=0.261164
Batch=1139, step=22740, lr=0.105500, batch loss=0.010512, epoch loss=0.271676
Batch=1199, step=22800, lr=0.105250, batch loss=0.004319, epoch loss=0.275996
Epoch=18, step=22800, lr=0.105250, epoch loss=0.275996
Batch=59, step=22860, lr=0.104750, batch loss=0.001521, epoch loss=0.001521
Batch=119, step=22920, lr=0.104750, batch loss=0.006203, epoch loss=0.007723
Batch=179, step=22980, lr=0.104500, batch loss=0.010917, epoch loss=0.018640
Batch=239, step=23040, lr=0.104250, batch loss=0.011046, epoch loss=0.029686
Batch=299, step=23100, lr=0.104000, batch loss=0.009216, epoch loss=0.038903
Batch=359, step=23160, lr=0.103750, batch loss=0.012438, epoch loss=0.051340
Batch=419, step=23220, lr=0.103500, batch loss=0.011549, epoch loss=0.062890
Batch=479, step=23280, lr=0.103250, batch loss=0.004073, epoch loss=0.066963
Batch=539, step=23340, lr=0.103000, batch loss=0.014117, epoch loss=0.081080
Batch=599, step=23400, lr=0.102750, batch loss=0.014819, epoch loss=0.095899
Batch=659, step=23460, lr=0.102500, batch loss=0.014112, epoch loss=0.110011
Batch=719, step=23520, lr=0.102250, batch loss=0.018202, epoch loss=0.128214
Batch=779, step=23580, lr=0.102000, batch loss=0.018797, epoch loss=0.147010
Batch=839, step=23640, lr=0.101750, batch loss=0.028295, epoch loss=0.175305
Batch=899, step=23700, lr=0.101500, batch loss=0.021861, epoch loss=0.197166
Batch=959, step=23760, lr=0.101250, batch loss=0.009889, epoch loss=0.207055
Batch=1019, step=23820, lr=0.101000, batch loss=0.007378, epoch loss=0.214432
Batch=1079, step=23880, lr=0.100750, batch loss=0.001290, epoch loss=0.215722
Batch=1139, step=23940, lr=0.100500, batch loss=0.008679, epoch loss=0.224401
Batch=1199, step=24000, lr=0.100250, batch loss=0.004531, epoch loss=0.228933
Epoch=19, step=24000, lr=0.100250, epoch loss=0.228933


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 20:16.09: Job failed: Failed: Build failed