Build:
- 0
2024-09-12 08:35.53: New job: Voodoo prep owl-plplot.1.0.2; e6e828895a9a57254d995e901d1693f1 2024-09-12 08:35.53: Waiting for resource in pool OCluster 2024-09-12 19:42.01: Waiting for worker… 2024-09-12 19:50.17: Got resource from pool OCluster 2024-09-12 19:50.17: Using cache hint "docs-universe-prep-4.14.2" To reproduce locally: cat > prep.spec <<'END-OF-SPEC' ((build tools ((from ocaml/opam:debian-12-ocaml-4.14@sha256:2135d0c56fc438ebc9377f99b020c06d4ecd43611be356b669914fea73ab2be1) (user (uid 1000) (gid 1000)) (workdir /home/opam) (run (shell "sudo chown opam:opam /home/opam")) (run (network host) (shell "sudo apt-get update && sudo apt-get install -yy m4 pkg-config")) (run (cache (opam-archives (target /home/opam/.opam/download-cache)) (opam-dune-cache (target /home/opam/.cache/dune))) (network host) (shell "opam pin -ny https://github.com/ocaml-doc/voodoo.git#67ccabec49b5f4d24147839291fcae7c19d3e8c9 && opam depext -iy voodoo-prep")) (run (shell "cp $(opam config var bin)/voodoo-prep /home/opam")))) (from ocaml/opam:debian-12-ocaml-4.14@sha256:2135d0c56fc438ebc9377f99b020c06d4ecd43611be356b669914fea73ab2be1) (user (uid 1000) (gid 1000)) (workdir /home/opam) (run (shell "sudo chown opam:opam /home/opam")) (run (shell "sudo mkdir /src")) (copy (src packages) (dst /src/packages)) (copy (src repo) (dst /src/repo)) (run (network host) (shell "sudo ln -f /usr/bin/opam-2.1 /usr/bin/opam && opam init --reinit -ni")) (run (shell "opam repo remove default && opam repo add opam /src")) (copy (from (build tools)) (src /home/opam/voodoo-prep) (dst /home/opam/)) (run (cache (opam-archives (target /home/opam/.opam/download-cache)) (opam-dune-cache (target /home/opam/.cache/dune))) (network host) (shell "opam install dune.3.16.0 ocamlfind.1.9.6")) (env DUNE_CACHE enabled) (env DUNE_CACHE_TRANSPORT direct) (env DUNE_CACHE_DUPLICATION copy) (run (cache (opam-archives (target /home/opam/.opam/download-cache)) (opam-dune-cache (target /home/opam/.cache/dune))) (network host) (shell "(sudo apt update) && ((opam depext -viy owl-plplot.1.0.2 stdlib-shims.0.3.0 stdio.v0.16.0 sexplib0.v0.16.0 plplot.5.12.0 owl-base.1.0.2 owl.1.0.2-1 ocamlfind.1.9.6 npy.0.0.9 integers.0.7.0 host-arch-x86_64.1 eigen.0.3.3 dune-configurator.3.16.0 dune.3.16.0 ctypes.0.23.0 csexp.1.5.2 conf-zlib.1 conf-pkg-config.3 conf-openblas.0.2.2 conf-bash.1 camlzip.1.12 bigarray-compat.1.1.0 base.v0.16.3 2>&1 | tee ~/opam.err.log) || echo 'Failed to install all packages')")) (run (shell "opam exec -- ~/voodoo-prep -u owl-plplot:e6e828895a9a57254d995e901d1693f1,plplot:f3efbf413f33ad300138ae8ba28797a9,owl:e6155a3e09362f46fa86a53533993ede")) (run (network host) (secrets (ssh_privkey (target /home/opam/.ssh/id_rsa)) (ssh_pubkey (target /home/opam/.ssh/id_rsa.pub)) (ssh_config (target /home/opam/.ssh/config))) (shell "(echo '0.655988') && (for DATA in prep/universes/e6155a3e09362f46fa86a53533993ede/owl/1.0.2-1,owl.1.0.2-1-e6155a3e09362f46fa86a53533993ede,owl.1.0.2-1 prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0,plplot.5.12.0-f3efbf413f33ad300138ae8ba28797a9,plplot.5.12.0 prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2,owl-plplot.1.0.2-e6e828895a9a57254d995e901d1693f1,owl-plplot.1.0.2; do IFS=\",\"; set -- $DATA; ([ -d $1 ] || (echo \"FAILED:$2\" && mkdir -p $1 && cp ~/opam.err.log $1 && opam show $3 --raw > $1/opam)) && (shopt -s nullglob && ((tar -cvf $1.tar $1/* && rm -R $1/* && mv $1.tar $1/content.tar) || (echo 'Empty directory'))) done) && (for DATA in prep/universes/e6155a3e09362f46fa86a53533993ede/owl/1.0.2-1,owl.1.0.2-1-e6155a3e09362f46fa86a53533993ede,owl.1.0.2-1 prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0,plplot.5.12.0-f3efbf413f33ad300138ae8ba28797a9,plplot.5.12.0 prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2,owl-plplot.1.0.2-e6e828895a9a57254d995e901d1693f1,owl-plplot.1.0.2; do IFS=\",\"; set -- $DATA; rsync -aR --no-p ./$1 docs.ci.ocaml.org:/data/.; done) && (for DATA in prep/universes/e6155a3e09362f46fa86a53533993ede/owl/1.0.2-1,owl.1.0.2-1-e6155a3e09362f46fa86a53533993ede,owl.1.0.2-1 prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0,plplot.5.12.0-f3efbf413f33ad300138ae8ba28797a9,plplot.5.12.0 prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2,owl-plplot.1.0.2-e6e828895a9a57254d995e901d1693f1,owl-plplot.1.0.2; do IFS=\",\"; set -- $DATA; HASH=$((sha256sum $1/content.tar | cut -d \" \" -f 1) || echo -n 'empty'); printf \"HASHES:$2:$HASH\\n\"; done)")) ) END-OF-SPEC ocluster-client submit-obuilder https://github.com/ocaml/opam-repository.git 6a4f63b670b110da8f97f919b99e72ee4d886bdd --local-file prep.spec \ --pool linux-x86_64 --connect ocluster-submission.cap --cache-hint docs-universe-prep-4.14.2 \ --secret ssh_privkey:id_rsa --secret ssh_pubkey:id_rsa.pub--secret ssh_config:ssh_config 2024-09-12 19:50.17: RETRYING: 2024-09-12/083553-voodoo-prep-0609c4 Number of retries: 0 (retriable error condition) Building on x86-bm-c9.sw.ocaml.org All commits already cached Updating files: 80% (25818/31947) Updating files: 81% (25878/31947) Updating files: 82% (26197/31947) Updating files: 83% (26517/31947) Updating files: 84% (26836/31947) Updating files: 85% (27155/31947) Updating files: 86% (27475/31947) Updating files: 87% (27794/31947) Updating files: 88% (28114/31947) Updating files: 89% (28433/31947) Updating files: 90% (28753/31947) Updating files: 91% (29072/31947) Updating files: 92% (29392/31947) Updating files: 93% (29711/31947) Updating files: 94% (30031/31947) Updating files: 95% (30350/31947) Updating files: 96% (30670/31947) Updating files: 97% (30989/31947) Updating files: 98% (31309/31947) Updating files: 99% (31628/31947) Updating files: 100% (31947/31947) Updating files: 100% (31947/31947), done. HEAD is now at 6a4f63b670 Add ctypes 0.23.0 (build "tools" …) (from ocaml/opam:debian-12-ocaml-4.14@sha256:2135d0c56fc438ebc9377f99b020c06d4ecd43611be356b669914fea73ab2be1) 2024-09-12 19:43.02 ---> using "103a548bcf08062184789f8399ddfc3128a2d5d426168f6d2c8435f8ce1ce572" from cache /: (user (uid 1000) (gid 1000)) /: (workdir /home/opam) /home/opam: (run (shell "sudo chown opam:opam /home/opam")) 2024-09-12 19:43.02 ---> using "b735425389b73ff0dbaabb86e65c55ba3d4affc0ec07062c4ba9fb8523aca05a" from cache /home/opam: (run (network host) (shell "sudo apt-get update && sudo apt-get install -yy m4 pkg-config")) Hit:1 http://deb.debian.org/debian bookworm InRelease Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] Get:4 http://deb.debian.org/debian bookworm-updates/main amd64 Packages.diff/Index [11.7 kB] Get:5 http://deb.debian.org/debian bookworm-updates/main amd64 Packages T-2024-09-10-2011.55-F-2024-09-10-2011.55.pdiff [1116 B] Get:5 http://deb.debian.org/debian bookworm-updates/main amd64 Packages T-2024-09-10-2011.55-F-2024-09-10-2011.55.pdiff [1116 B] Get:6 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [179 kB] Fetched 295 kB in 1s (447 kB/s) Reading package lists... Reading package lists... Building dependency tree... Reading state information... The following additional packages will be installed: libpkgconf3 pkgconf pkgconf-bin Suggested packages: m4-doc The following NEW packages will be installed: libpkgconf3 m4 pkg-config pkgconf pkgconf-bin 0 upgraded, 5 newly installed, 0 to remove and 0 not upgraded. Need to get 392 kB of archives. After this operation, 969 kB of additional disk space will be used. Get:1 http://deb.debian.org/debian bookworm/main amd64 libpkgconf3 amd64 1.8.1-1 [36.1 kB] Get:2 http://deb.debian.org/debian bookworm/main amd64 m4 amd64 1.4.19-3 [287 kB] Get:3 http://deb.debian.org/debian bookworm/main amd64 pkgconf-bin amd64 1.8.1-1 [29.5 kB] Get:4 http://deb.debian.org/debian bookworm/main amd64 pkgconf amd64 1.8.1-1 [25.9 kB] Get:5 http://deb.debian.org/debian bookworm/main amd64 pkg-config amd64 1.8.1-1 [13.7 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 392 kB in 0s (7641 kB/s) 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 ... 18733 files and directories currently installed.) Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ... Unpacking libpkgconf3:amd64 (1.8.1-1) ... Selecting previously unselected package m4. Preparing to unpack .../archives/m4_1.4.19-3_amd64.deb ... Unpacking m4 (1.4.19-3) ... Selecting previously unselected package pkgconf-bin. Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ... Unpacking pkgconf-bin (1.8.1-1) ... Selecting previously unselected package pkgconf:amd64. Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ... Unpacking pkgconf:amd64 (1.8.1-1) ... Selecting previously unselected package pkg-config:amd64. Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ... Unpacking pkg-config:amd64 (1.8.1-1) ... Setting up m4 (1.4.19-3) ... Setting up libpkgconf3:amd64 (1.8.1-1) ... Setting up pkgconf-bin (1.8.1-1) ... Setting up pkgconf:amd64 (1.8.1-1) ... Setting up pkg-config:amd64 (1.8.1-1) ... Processing triggers for libc-bin (2.36-9+deb12u8) ... 2024-09-12 19:43.02 ---> using "64027e071d7f4bb79a519ab4cf43cd8d13e54fe5188051a605e9293619bec9b3" from cache /home/opam: (run (cache (opam-archives (target /home/opam/.opam/download-cache)) (opam-dune-cache (target /home/opam/.cache/dune))) (network host) (shell "opam pin -ny https://github.com/ocaml-doc/voodoo.git#67ccabec49b5f4d24147839291fcae7c19d3e8c9 && opam depext -iy voodoo-prep")) [voodoo: git] [voodoo: git] [voodoo: git] [voodoo: git] [voodoo: git] [voodoo: git] [voodoo: git] [voodoo: git] [voodoo] synchronised from git+https://github.com/ocaml-doc/voodoo.git#67ccabec49b5f4d24147839291fcae7c19d3e8c9 This will pin the following packages: voodoo-prep, voodoo-lib, voodoo-gen, voodoo-do. Continue? [Y/n] y Package voodoo-prep does not exist, create as a NEW package? [Y/n] y [voodoo-prep.~dev: git] [voodoo-prep.~dev: git] [voodoo-prep.~dev: git] [voodoo-prep.~dev: git] [voodoo-prep.~dev: git] [voodoo-prep.~dev: git] [voodoo-prep.~dev: git] [voodoo-prep.~dev: git] [voodoo-prep.~dev] synchronised from git+https://github.com/ocaml-doc/voodoo.git#67ccabec49b5f4d24147839291fcae7c19d3e8c9 voodoo-prep is now pinned to git+https://github.com/ocaml-doc/voodoo.git#67ccabec49b5f4d24147839291fcae7c19d3e8c9 (version ~dev) Package voodoo-lib does not exist, create as a NEW package? [Y/n] y [voodoo-lib.~dev: git] [voodoo-lib.~dev: git] [voodoo-lib.~dev: git] [voodoo-lib.~dev: git] [voodoo-lib.~dev: git] [voodoo-lib.~dev: git] [voodoo-lib.~dev: git] [voodoo-lib.~dev: git] [voodoo-lib.~dev] synchronised from git+https://github.com/ocaml-doc/voodoo.git#67ccabec49b5f4d24147839291fcae7c19d3e8c9 voodoo-lib is now pinned to git+https://github.com/ocaml-doc/voodoo.git#67ccabec49b5f4d24147839291fcae7c19d3e8c9 (version ~dev) Package voodoo-gen does not exist, create as a NEW package? [Y/n] y [voodoo-gen.~dev: git] [voodoo-gen.~dev: git] [voodoo-gen.~dev: git] [voodoo-gen.~dev: git] [voodoo-gen.~dev: git] [voodoo-gen.~dev: git] [voodoo-gen.~dev: git] [voodoo-gen.~dev: git] [voodoo-gen.~dev] synchronised from git+https://github.com/ocaml-doc/voodoo.git#67ccabec49b5f4d24147839291fcae7c19d3e8c9 voodoo-gen is now pinned to git+https://github.com/ocaml-doc/voodoo.git#67ccabec49b5f4d24147839291fcae7c19d3e8c9 (version ~dev) Package voodoo-do does not exist, create as a NEW package? [Y/n] y [voodoo-do.~dev: git] [voodoo-do.~dev: git] [voodoo-do.~dev: git] [voodoo-do.~dev: git] [voodoo-do.~dev: git] [voodoo-do.~dev: git] [voodoo-do.~dev: git] [voodoo-do.~dev: git] [voodoo-do.~dev] synchronised from git+https://github.com/ocaml-doc/voodoo.git#67ccabec49b5f4d24147839291fcae7c19d3e8c9 voodoo-do is now pinned to git+https://github.com/ocaml-doc/voodoo.git#67ccabec49b5f4d24147839291fcae7c19d3e8c9 (version ~dev) # Detecting depexts using vars: arch=x86_64, os=linux, os-distribution=debian, os-family=debian # No extra OS packages requirements found. # All required OS packages found. # Now letting opam install the packages <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [voodoo-prep.~dev] no changes from git+https://github.com/ocaml-doc/voodoo.git#67ccabec49b5f4d24147839291fcae7c19d3e8c9 The following actions will be performed: - install ocamlbuild 0.15.0 [required by bos] - install dune 3.16.0 [required by voodoo-prep] - install ocamlfind 1.9.6 [required by bos] - install cmdliner 1.3.0 [required by voodoo-prep] - install seq base [required by re] - install swhid_core 0.1 [required by opam-core] - install stdlib-shims 0.3.0 [required by ocamlgraph, sha] - install opam-file-format 2.1.6 [required by opam-format] - install topkg 1.0.7 [required by bos] - install re 1.12.0 [required by opam-format] - install sha 1.15.4 [required by opam-core] - install ocamlgraph 2.1.0 [required by opam-core] - install uutf 1.0.3 [required by opam-core] - install rresult 0.7.0 [required by bos] - install fmt 0.9.0 [required by bos] - install astring 0.8.5 [required by bos] - install jsonm 1.0.2 [required by opam-core] - install logs 0.7.0 [required by bos] - install fpath 0.7.3 [required by voodoo-prep] - install opam-core 2.2.1 [required by opam-format] - install bos 0.2.1 [required by voodoo-prep] - install opam-format 2.2.1 [required by voodoo-prep] - install voodoo-prep ~dev* ===== 23 to install ===== <><> Gathering sources ><><><><><><><><><><><><><><><><><><><><><><><><><><><><> [astring.0.8.5] found in cache [bos.0.2.1] found in cache [cmdliner.1.3.0] found in cache [dune.3.16.0] found in cache [fmt.0.9.0] found in cache [fpath.0.7.3] found in cache [jsonm.1.0.2] found in cache [logs.0.7.0] found in cache [ocamlbuild.0.15.0] found in cache [ocamlfind.1.9.6] found in cache [ocamlgraph.2.1.0] found in cache [opam-core.2.2.1] found in cache [opam-file-format.2.1.6] found in cache [opam-format.2.2.1] found in cache [re.1.12.0] found in cache [rresult.0.7.0] found in cache [sha.1.15.4] found in cache [stdlib-shims.0.3.0] found in cache [swhid_core.0.1] found in cache [topkg.1.0.7] found in cache [uutf.1.0.3] found in cache [voodoo-prep.~dev] synchronised from git+https://github.com/ocaml-doc/voodoo.git#67ccabec49b5f4d24147839291fcae7c19d3e8c9 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> installed seq.base -> installed cmdliner.1.3.0 -> installed ocamlfind.1.9.6 -> installed ocamlbuild.0.15.0 -> installed topkg.1.0.7 -> installed rresult.0.7.0 -> installed uutf.1.0.3 -> installed fmt.0.9.0 -> installed astring.0.8.5 -> installed jsonm.1.0.2 -> installed fpath.0.7.3 -> installed logs.0.7.0 -> installed bos.0.2.1 -> installed dune.3.16.0 -> installed stdlib-shims.0.3.0 -> installed swhid_core.0.1 -> installed opam-file-format.2.1.6 -> installed re.1.12.0 -> installed sha.1.15.4 -> installed ocamlgraph.2.1.0 -> installed opam-core.2.2.1 -> installed opam-format.2.2.1 -> installed voodoo-prep.~dev Done. # Run eval $(opam env) to update the current shell environment 2024-09-12 19:43.02 ---> using "4b3eae20ee556ce466265d261fd5d7184b7506cfcf8217eea177582bdd289d8b" from cache /home/opam: (run (shell "cp $(opam config var bin)/voodoo-prep /home/opam")) 2024-09-12 19:43.02 ---> using "ff9243a4acf95fb20c4e62f411801f15f8ec3c4e6fcc150de31a9042ea281b68" from cache 2024-09-12 19:43.02 --> finished "tools" (from ocaml/opam:debian-12-ocaml-4.14@sha256:2135d0c56fc438ebc9377f99b020c06d4ecd43611be356b669914fea73ab2be1) 2024-09-12 19:43.02 ---> using "103a548bcf08062184789f8399ddfc3128a2d5d426168f6d2c8435f8ce1ce572" from cache /: (user (uid 1000) (gid 1000)) /: (workdir /home/opam) /home/opam: (run (shell "sudo chown opam:opam /home/opam")) 2024-09-12 19:43.02 ---> using "b735425389b73ff0dbaabb86e65c55ba3d4affc0ec07062c4ba9fb8523aca05a" from cache /home/opam: (run (shell "sudo mkdir /src")) 2024-09-12 19:43.02 ---> using "589fc247a47cee4820aea953ca0c6137d5c05903e8d36d67782083bf9b53dcd0" from cache /home/opam: (copy (src packages) (dst /src/packages)) 2024-09-12 19:43.05 ---> using "776b9dca66bbe2b7479c9e00e64712e149bf090d9a440c3d131b28baafddca8f" from cache /home/opam: (copy (src repo) (dst /src/repo)) 2024-09-12 19:43.05 ---> using "5324ab3bba79a06d8b766d5f81937086243d5de8fb95031b3efd9481fe46b961" from cache /home/opam: (run (network host) (shell "sudo ln -f /usr/bin/opam-2.1 /usr/bin/opam && 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 2.1, which can't be reverted. You may want to back it up before going further. Continue? [Y/n] y Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from file:///home/opam/opam-repository 2024-09-12 19:43.05 ---> using "5905cb27eb38d6d49cbf47b7ed3179913d09a8c7dbb5fb78854543b09ad3a132" from cache /home/opam: (run (shell "opam repo remove default && opam repo add opam /src")) Repositories removed from the selections of switch 4.14. Use '--all' to forget about them altogether. [opam] Initialised [NOTE] Repository opam has been added to the selections of switch 4.14 only. Run `opam repository add opam --all-switches|--set-default' to use it in all existing switches, or in newly created switches, respectively. 2024-09-12 19:43.05 ---> using "c64ffdc1749521241bad108b1affb402f278f0a2a5143488584321212644fd1d" from cache /home/opam: (copy (from (build tools)) (src /home/opam/voodoo-prep) (dst /home/opam/)) 2024-09-12 19:43.05 ---> using "a265836388433326646d1bae43b582b3c6011c259bef26de3bece1396ae68f4b" from cache /home/opam: (run (cache (opam-archives (target /home/opam/.opam/download-cache)) (opam-dune-cache (target /home/opam/.cache/dune))) (network host) (shell "opam install dune.3.16.0 ocamlfind.1.9.6")) The following actions will be performed: - install dune 3.16.0 - install ocamlfind 1.9.6 ===== 2 to install ===== <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved ocamlfind.1.9.6 (cached) -> retrieved dune.3.16.0 (cached) -> installed ocamlfind.1.9.6 -> installed dune.3.16.0 Done. # Run eval $(opam env) to update the current shell environment 2024-09-12 19:43.05 ---> using "fb0914222800c686d2b81e2594aeae281dab344dc37530e1b7b5e1545ae10eba" from cache /home/opam: (env DUNE_CACHE enabled) /home/opam: (env DUNE_CACHE_TRANSPORT direct) /home/opam: (env DUNE_CACHE_DUPLICATION copy) /home/opam: (run (cache (opam-archives (target /home/opam/.opam/download-cache)) (opam-dune-cache (target /home/opam/.cache/dune))) (network host) (shell "(sudo apt update) && ((opam depext -viy owl-plplot.1.0.2 stdlib-shims.0.3.0 stdio.v0.16.0 sexplib0.v0.16.0 plplot.5.12.0 owl-base.1.0.2 owl.1.0.2-1 ocamlfind.1.9.6 npy.0.0.9 integers.0.7.0 host-arch-x86_64.1 eigen.0.3.3 dune-configurator.3.16.0 dune.3.16.0 ctypes.0.23.0 csexp.1.5.2 conf-zlib.1 conf-pkg-config.3 conf-openblas.0.2.2 conf-bash.1 camlzip.1.12 bigarray-compat.1.1.0 base.v0.16.3 2>&1 | tee ~/opam.err.log) || echo 'Failed to install all packages')")) WARNING: apt does not have a stable CLI interface. Use with caution in scripts. Hit:1 http://deb.debian.org/debian bookworm InRelease Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] Get:4 http://deb.debian.org/debian bookworm-updates/main amd64 Packages.diff/Index [11.7 kB] Get:5 http://deb.debian.org/debian bookworm-updates/main amd64 Packages T-2024-09-10-2011.55-F-2024-09-10-2011.55.pdiff [1116 B] Get:5 http://deb.debian.org/debian bookworm-updates/main amd64 Packages T-2024-09-10-2011.55-F-2024-09-10-2011.55.pdiff [1116 B] Get:6 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [179 kB] Fetched 295 kB in 0s (1071 kB/s) Reading package lists... Building dependency tree... Reading state information... All packages are up to date. Opam plugin "depext" may require upgrading/reinstalling. Reinstall the plugin on the current switch? [Y/n] y The following actions will be performed: - recompile opam-depext 1.2.3 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved opam-depext.1.2.3 (cached) -> removed opam-depext.1.2.3 -> installed opam-depext.1.2.3 Done. <><> opam-depext.1.2.3 installed successfully <><><><><><><><><><><><><><><><><> => opam-depext is unnecessary when used with opam >= 2.1. Please use opam install directly instead # Run eval $(opam env) to update the current shell environment <><> Carrying on to "opam depext -viy owl-plplot.1.0.2 stdlib-shims.0.3.0 stdio.v0.16.0 sexplib0.v0.16.0 plplot.5.12.0 owl-base.1.0.2 owl.1.0.2-1 ocamlfind.1.9.6 npy.0.0.9 integers.0.7.0 host-arch-x86_64.1 eigen.0.3.3 dune-configurator.3.16.0 dune.3.16.0 ctypes.0.23.0 csexp.1.5.2 conf-zlib.1 conf-pkg-config.3 conf-openblas.0.2.2 conf-bash.1 camlzip.1.12 bigarray-compat.1.1.0 base.v0.16.3" Since version 2.1, opam now handles external dependencies alongside OCaml ones, and the `depext` plugin interface is provided for backwards compatibility only. Consider using your usual `opam install` command to install both OCaml and system dependencies, or `opam install <pkg> --depext-only` if you want to only install external dependencies. # Detecting depexts using vars: arch=x86_64, os=linux, os-distribution=debian, os-family=debian # The following system packages are needed: liblapacke-dev libopenblas-dev libplplot-dev libshp-dev pkg-config zlib1g-dev [NOTE] Package dune is already installed (current version is 3.16.0). [NOTE] Package host-arch-x86_64 is already installed (current version is 1). [NOTE] Package ocamlfind is already installed (current version is 1.9.6). The following actions will be performed: - install conf-pkg-config 3 - install conf-bash 1 - install conf-openblas 0.2.2 - install bigarray-compat 1.1.0 - install csexp 1.5.2 - install sexplib0 v0.16.0 - install owl-base 1.0.2 - install stdlib-shims 0.3.0 - install conf-zlib 1 - install dune-configurator 3.16.0 - install integers 0.7.0 - install camlzip 1.12 - install plplot 5.12.0 - install base v0.16.3 - install ctypes 0.23.0 - install npy 0.0.9 - install stdio v0.16.0 - install eigen 0.3.3 - install owl 1.0.2-1 - install owl-plplot 1.0.2 ===== 20 to install ===== The following system packages will first need to be installed: liblapacke-dev libopenblas-dev libplplot-dev libshp-dev pkg-config zlib1g-dev <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> Let opam run your package manager to install the required system packages? (answer 'n' for other options) [Y/n] y + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "liblapacke-dev" "libopenblas-dev" "libplplot-dev" "libshp-dev" "pkg-config" "zlib1g-dev" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libargon2-1:amd64. - (Reading database ... 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Setting up libxcb-dri2-0:amd64 (1.15-1) ... - Setting up zlib1g-dev:amd64 (1:1.2.13.dfsg-1) ... - Setting up libxshmfence1:amd64 (1.3-1) ... - Setting up libcsirocsa0:amd64 (5.15.0+dfsg2-6) ... - Setting up at-spi2-common (2.46.0-5) ... - Setting up librhash0:amd64 (1.4.3-3) ... - Setting up libxcb-randr0:amd64 (1.15-1) ... - Setting up dbus-session-bus-common (1.14.10-1~deb12u1) ... - Setting up liblua5.1-0:amd64 (5.1.5-9) ... - Setting up libmd4c0:amd64 (0.4.8-1) ... - Setting up libharfbuzz0b:amd64 (6.0.0+dfsg-3) ... - Setting up libthai-data (0.1.29-1) ... - Setting up libcairo-gobject2:amd64 (1.16.0-7) ... - Setting up cmake-data (3.25.1-1) ... - Setting up libatk1.0-0:amd64 (2.46.0-5) ... - Setting up libwayland-egl1:amd64 (1.21.0-1) ... - Setting up dbus-system-bus-common (1.14.10-1~deb12u1) ... - Setting up libdrm-common (2.4.114-1) ... - Setting up libelf1:amd64 (0.188-2.1) ... - Setting up libxcomposite1:amd64 (1:0.4.5-1) ... - Setting up libevdev2:amd64 (1.13.0+dfsg-1) ... - Setting up libxml2:amd64 (2.9.14+dfsg-1.3~deb12u1) ... - Setting up dbus-bin (1.14.10-1~deb12u1) ... - Setting up libbrotli-dev:amd64 (1.0.9-2+b6) ... - Setting up libgudev-1.0-0:amd64 (237-2) ... - Setting up libblas-dev:amd64 (3.11.0-2) ... - update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so to provide /usr/lib/x86_64-linux-gnu/libblas.so (libblas.so-x86_64-linux-gnu) in auto mode - Setting up libwacom-common (2.6.0-1) ... - Setting up libxkbcommon0:amd64 (1.5.0-1) ... - Setting up libwayland-client0:amd64 (1.21.0-1) ... - Setting up automake (1:1.16.5-1.3) ... - update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode - Setting up libice6:amd64 (2:1.0.10-1) ... - Setting up libplplot17:amd64 (5.15.0+dfsg2-6) ... - Setting up liblapack3:amd64 (3.11.0-2) ... - update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) in auto mode - Setting up libshp-dev:amd64 (1.5.0-3+b1) ... - Setting up libopenblas0-pthread:amd64 (0.3.21+ds-4) ... - update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 to provide /usr/lib/x86_64-linux-gnu/libblas.so.3 (libblas.so.3-x86_64-linux-gnu) in auto mode - update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/liblapack.so.3 to provide /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) in auto mode - update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblas.so.0 to provide /usr/lib/x86_64-linux-gnu/libopenblas.so.0 (libopenblas.so.0-x86_64-linux-gnu) in auto mode - Setting up libtool (2.4.7-7~deb12u1) ... - Setting up libarchive13:amd64 (3.6.2-1+deb12u1) ... - Setting up libwacom9:amd64 (2.6.0-1) ... - Setting up libxtst6:amd64 (2:1.2.3-1.1) ... - Setting up libplplotcxx15:amd64 (5.15.0+dfsg2-6) ... - Setting up libxcursor1:amd64 (1:1.2.1-1) ... - Setting up libpng-dev:amd64 (1.6.39-2) ... - Setting up libavahi-common3:amd64 (0.8-10) ... - Setting up libgfortran-12-dev:amd64 (12.2.0-14) ... - Setting up dbus-daemon (1.14.10-1~deb12u1) ... - Setting up libatspi2.0-0:amd64 (2.46.0-5) ... - Setting up libplplot-lua:amd64 (5.15.0+dfsg2-6) ... - Setting up libwxbase3.2-1:amd64 (3.2.2+dfsg-2) ... - Setting up pkgconf:amd64 (1.8.1-1) ... - Setting up libinput-bin (1.22.1-1) ... - Setting up libfreetype-dev:amd64 (2.12.1+dfsg-5+deb12u3) ... - Setting up libatk-bridge2.0-0:amd64 (2.46.0-5) ... - Setting up libltdl-dev:amd64 (2.4.7-7~deb12u1) ... - Setting up libthai0:amd64 (0.1.29-1) ... - Setting up gfortran-12 (12.2.0-14) ... - Setting up libtmglib3:amd64 (3.11.0-2) ... - Setting up libplplotfortran0:amd64 (5.15.0+dfsg2-6) ... - Setting up dbus (1.14.10-1~deb12u1) ... - invoke-rc.d: could not determine current runlevel - invoke-rc.d: policy-rc.d denied execution of start. - Setting up shared-mime-info (2.2-1) ... - Setting up libxkbcommon-x11-0:amd64 (1.5.0-1) ... - Setting up libplplot-ocaml (5.15.0+dfsg2-6) ... - Setting up liblapack-dev:amd64 (3.11.0-2) ... - update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so to provide /usr/lib/x86_64-linux-gnu/liblapack.so (liblapack.so-x86_64-linux-gnu) in auto mode - Setting up pkg-config:amd64 (1.8.1-1) ... - Setting up libqt5core5a:amd64 (5.15.8+dfsg-11+deb12u2) ... - Setting up libdrm2:amd64 (2.4.114-1+b1) ... - Setting up libopenblas0:amd64 (0.3.21+ds-4) ... - Setting up libqt5dbus5:amd64 (5.15.8+dfsg-11+deb12u2) ... - Setting up liblapacke:amd64 (3.11.0-2) ... - Setting up libwayland-cursor0:amd64 (1.21.0-1) ... - Setting up libllvm15:amd64 (1:15.0.6-4+b1) ... - Setting up libpam-systemd:amd64 (252.30-1~deb12u2) ... - Setting up cmake (3.25.1-1) ... - Setting up libgdk-pixbuf-2.0-0:amd64 (2.42.10+dfsg-1+deb12u1) ... - Setting up libtmglib-dev:amd64 (3.11.0-2) ... - Setting up libsm6:amd64 (2:1.2.3-1) ... - Setting up libavahi-client3:amd64 (0.8-10) ... - Setting up libdrm-amdgpu1:amd64 (2.4.114-1+b1) ... - Setting up libopenblas-pthread-dev:amd64 (0.3.21+ds-4) ... - update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so to provide /usr/lib/x86_64-linux-gnu/libblas.so (libblas.so-x86_64-linux-gnu) in auto mode - update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/liblapack.so to provide /usr/lib/x86_64-linux-gnu/liblapack.so (liblapack.so-x86_64-linux-gnu) in auto mode - update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblas.so to provide /usr/lib/x86_64-linux-gnu/libopenblas.so (libopenblas.so-x86_64-linux-gnu) in auto mode - Setting up libinput10:amd64 (1.22.1-1) ... - Setting up gtk-update-icon-cache (3.24.38-2~deb12u2) ... - Setting up libdrm-nouveau2:amd64 (2.4.114-1+b1) ... - Setting up libgbm1:amd64 (22.3.6-1+deb12u1) ... - Setting up libdrm-radeon1:amd64 (2.4.114-1+b1) ... - Setting up libpango-1.0-0:amd64 (1.50.12+ds-1) ... - Setting up libdrm-intel1:amd64 (2.4.114-1+b1) ... - Setting up libgl1-mesa-dri:amd64 (22.3.6-1+deb12u1) ... - Setting up liblapacke-dev:amd64 (3.11.0-2) ... - Setting up libqt5network5:amd64 (5.15.8+dfsg-11+deb12u2) ... - Setting up libfreetype6-dev:amd64 (2.12.1+dfsg-5+deb12u3) ... - Setting up dbus-user-session (1.14.10-1~deb12u1) ... - Setting up libopenblas-dev:amd64 (0.3.21+ds-4) ... - Setting up libegl-mesa0:amd64 (22.3.6-1+deb12u1) ... - Setting up adwaita-icon-theme (43-1) ... - update-alternatives: using /usr/share/icons/Adwaita/cursor.theme to provide /usr/share/icons/default/index.theme (x-cursor-theme) in auto mode - Setting up libqt5qml5:amd64 (5.15.8+dfsg-3) ... - Setting up libnotify4:amd64 (0.8.1-1) ... - Setting up libcups2:amd64 (2.4.2-3+deb12u7) ... - Setting up libgdk-pixbuf2.0-bin (2.42.10+dfsg-1+deb12u1) ... - Setting up libegl1:amd64 (1.6.0-1) ... - Setting up libpangoft2-1.0-0:amd64 (1.50.12+ds-1) ... - Setting up libpangocairo-1.0-0:amd64 (1.50.12+ds-1) ... - Setting up libqt5qmlmodels5:amd64 (5.15.8+dfsg-3) ... - Setting up libglx-mesa0:amd64 (22.3.6-1+deb12u1) ... - Setting up libglx0:amd64 (1.6.0-1) ... - Setting up dconf-service (0.40.0-4) ... - Setting up librsvg2-2:amd64 (2.54.7+dfsg-1~deb12u1) ... - Setting up libgl1:amd64 (1.6.0-1) ... - Setting up librsvg2-common:amd64 (2.54.7+dfsg-1~deb12u1) ... - Setting up dconf-gsettings-backend:amd64 (0.40.0-4) ... - Setting up libqt5gui5:amd64 (5.15.8+dfsg-11+deb12u2) ... - Setting up libqt5widgets5:amd64 (5.15.8+dfsg-11+deb12u2) ... - Setting up libqt5waylandclient5:amd64 (5.15.8-2) ... - Setting up libqt5printsupport5:amd64 (5.15.8+dfsg-11+deb12u2) ... - Setting up libqt5quick5:amd64 (5.15.8+dfsg-3) ... - Setting up libgtk-3-common (3.24.38-2~deb12u2) ... - Setting up gsettings-desktop-schemas (43.0-1) ... - Setting up libgtk-3-0:amd64 (3.24.38-2~deb12u2) ... - Setting up libqt5svg5:amd64 (5.15.8-3) ... - Setting up libgtk-3-bin (3.24.38-2~deb12u2) ... - Setting up libplplotqt2:amd64 (5.15.0+dfsg2-6) ... - Setting up qt5-gtk-platformtheme:amd64 (5.15.8+dfsg-11+deb12u2) ... - Setting up libqt5waylandcompositor5:amd64 (5.15.8-2) ... - Setting up plplot-driver-qt:amd64 (5.15.0+dfsg2-6) ... - Setting up at-spi2-core (2.46.0-5) ... - Setting up libwxgtk3.2-1:amd64 (3.2.2+dfsg-2) ... - Setting up libplplotwxwidgets1:amd64 (5.15.0+dfsg2-6) ... - Setting up qtwayland5:amd64 (5.15.8-2) ... - Setting up plplot-driver-wxwidgets:amd64 (5.15.0+dfsg2-6) ... - Setting up libplplot-dev (5.15.0+dfsg2-6) ... - Processing triggers for libc-bin (2.36-9+deb12u8) ... - Processing triggers for libgdk-pixbuf-2.0-0:amd64 (2.42.10+dfsg-1+deb12u1) ... <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> Processing 1/60: Processing 2/60: Processing 3/60: -> retrieved base.v0.16.3 (cached) Processing 4/60: -> retrieved conf-openblas.0.2.2 (cached) Processing 5/60: Processing 6/60: Processing 7/60: Processing 8/60: Processing 9/60: [conf-bash: bash] Processing 10/60: [conf-bash: bash] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] Processing 11/60: [conf-bash: bash] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config] -> retrieved bigarray-compat.1.1.0 (cached) Processing 12/60: [conf-bash: bash] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config] Processing 13/60: [bigarray-compat: dune build] [conf-bash: bash] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config] -> retrieved camlzip.1.12 (cached) Processing 14/60: [bigarray-compat: dune build] [conf-bash: bash] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config] -> retrieved csexp.1.5.2 (cached) Processing 15/60: [bigarray-compat: dune build] [conf-bash: bash] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config] Processing 16/60: [bigarray-compat: dune build] [conf-bash: bash] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config] [csexp: dune build] - GNU bash, version 5.2.15(1)-release (x86_64-pc-linux-gnu) - Copyright (C) 2022 Free Software Foundation, Inc. - License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html> - - This is free software; you are free to change and redistribute it. - There is NO WARRANTY, to the extent permitted by law. -> compiled conf-bash.1 Processing 16/60: [bigarray-compat: dune build] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config] [csexp: dune build] -> installed conf-bash.1 Processing 17/60: [bigarray-compat: dune build] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config] [csexp: dune build] - usage: pkgconf [OPTIONS] [LIBRARIES] - - basic options: - - --help this message - --about print pkgconf version and license to stdout - --version print supported pkg-config version to stdout - --atleast-pkgconfig-version check whether or not pkgconf is compatible - with a specified pkg-config version - --errors-to-stdout print all errors on stdout instead of stderr - --print-errors ensure all errors are printed - --short-errors be less verbose about some errors - --silence-errors explicitly be silent about errors - --list-all list all known packages - --list-package-names list all known package names - --simulate simulate walking the calculated dependency graph - --no-cache do not cache already seen packages when - walking the dependency graph - --log-file=filename write an audit log to a specified file - --with-path=path adds a directory to the search path - --define-prefix override the prefix variable with one that is guessed based on - the location of the .pc file - --dont-define-prefix do not override the prefix variable under any circumstances - --prefix-variable=varname sets the name of the variable that pkgconf considers - to be the package prefix - --relocate=path relocates a path and exits (mostly for testsuite) - --dont-relocate-paths disables path relocation support - - cross-compilation personality support: - - --personality=triplet|filename sets the personality to 'triplet' or a file named 'filename' - --dump-personality dumps details concerning selected personality - - checking specific pkg-config database entries: - - --atleast-version require a specific version of a module - --exact-version require an exact version of a module - --max-version require a maximum version of a module - --exists check whether or not a module exists - --uninstalled check whether or not an uninstalled module will be used - --no-uninstalled never use uninstalled modules when satisfying dependencies - --no-provides do not use 'provides' rules to resolve dependencies - --maximum-traverse-depth maximum allowed depth for dependency graph - --static be more aggressive when computing dependency graph - (for static linking) - --shared use a simplified dependency graph (usually default) - --pure optimize a static dependency graph as if it were a normal - dependency graph - --env-only look only for package entries in PKG_CONFIG_PATH - --ignore-conflicts ignore 'conflicts' rules in modules - --validate validate specific .pc files for correctness - - querying specific pkg-config database fields: - - --define-variable=varname=value define variable 'varname' as 'value' - --variable=varname print specified variable entry to stdout - --cflags print required CFLAGS to stdout - --cflags-only-I print required include-dir CFLAGS to stdout - --cflags-only-other print required non-include-dir CFLAGS to stdout - --libs print required linker flags to stdout - --libs-only-L print required LDPATH linker flags to stdout - --libs-only-l print required LIBNAME linker flags to stdout - --libs-only-other print required other linker flags to stdout - --print-requires print required dependency frameworks to stdout - --print-requires-private print required dependency frameworks for static - linking to stdout - --print-provides print provided dependencies to stdout - --print-variables print all known variables in module to stdout - --digraph print entire dependency graph in graphviz 'dot' format - --keep-system-cflags keep -I/usr/include entries in cflags output - --keep-system-libs keep -L/lib:/lib/i386-linux-gnu:/lib/x86_64-linux-gnu:/lib/x86_64-linux-gnux32:/lib32:/libx32:/usr/lib:/usr/lib/i386-linux-gnu:/usr/lib/x86_64-linux-gnu:/usr/lib/x86_64-linux-gnux32:/usr/lib32:/usr/libx32 entries in libs output - --path show the exact filenames for any matching .pc files - --modversion print the specified module's version to stdout - --internal-cflags do not filter 'internal' cflags from output - - filtering output: - - --msvc-syntax print translatable fragments in MSVC syntax - --fragment-filter=types filter output fragments to the specified types - - report bugs to <https://github.com/pkgconf/pkgconf/issues/new>. -> compiled conf-pkg-config.3 Processing 17/60: [bigarray-compat: dune build] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [csexp: dune build] -> installed conf-pkg-config.3 Processing 18/60: [bigarray-compat: dune build] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [csexp: dune build] Processing 19/60: [bigarray-compat: dune build] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-zlib: pkg-config zlib] [csexp: dune build] -> retrieved ctypes.0.23.0 (cached) Processing 20/60: [bigarray-compat: dune build] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-zlib: pkg-config zlib] [csexp: dune build] -> compiled conf-zlib.1 Processing 20/60: [bigarray-compat: dune build] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [csexp: dune build] -> installed conf-zlib.1 Processing 21/60: [bigarray-compat: dune build] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [csexp: dune build] Processing 22/60: [bigarray-compat: dune build] [camlzip: make all] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [csexp: dune build] -> retrieved integers.0.7.0 (cached) Processing 23/60: [bigarray-compat: dune build] [camlzip: make all] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [csexp: dune build] -> retrieved npy.0.0.9 (cached) Processing 24/60: [bigarray-compat: dune build] [camlzip: make all] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [csexp: dune build] - + cc test.c -lopenblas -> compiled conf-openblas.0.2.2 Processing 24/60: [bigarray-compat: dune build] [camlzip: make all] [csexp: dune build] -> installed conf-openblas.0.2.2 Processing 25/60: [bigarray-compat: dune build] [camlzip: make all] [csexp: dune build] -> compiled bigarray-compat.1.1.0 Processing 25/60: [camlzip: make all] [csexp: dune build] -> installed bigarray-compat.1.1.0 Processing 26/60: [camlzip: make all] [csexp: dune build] -> compiled csexp.1.5.2 Processing 26/60: [camlzip: make all] -> installed csexp.1.5.2 Processing 27/60: [camlzip: make all] -> retrieved eigen.0.3.3 (cached) Processing 28/60: [camlzip: make all] - ocamlfind ocamlc -g -safe-string -bin-annot -package unix -c -ccopt -g zlibstubs.c - ocamlfind ocamlmklib -oc camlzip zlibstubs.o -lz - ocamlfind ocamlc -g -safe-string -bin-annot -package unix -c zlib.mli - ocamlfind ocamlc -g -safe-string -bin-annot -package unix -c zlib.ml - ocamlfind ocamlc -g -safe-string -bin-annot -package unix -c zip.mli - ocamlfind ocamlc -g -safe-string -bin-annot -package unix -c zip.ml - ocamlfind ocamlc -g -safe-string -bin-annot -package unix -c gzip.mli - ocamlfind ocamlc -g -safe-string -bin-annot -package unix -c gzip.ml - ocamlfind ocamlmklib -o zip -oc camlzip zlib.cmo zip.cmo gzip.cmo -lz - ocamlfind ocamlopt -safe-string -package unix -c zlib.ml - ocamlfind ocamlopt -safe-string -package unix -c zip.ml - ocamlfind ocamlopt -safe-string -package unix -c gzip.ml - ocamlfind ocamlmklib -o zip -oc camlzip zlib.cmx zip.cmx gzip.cmx -lz - ocamlfind ocamlopt -safe-string -package unix -shared -linkall -I ./ -o zip.cmxs zip.cmxa libcamlzip.a -> compiled camlzip.1.12 Processing 28/60: Processing 29/60: [camlzip: make install] -> retrieved dune-configurator.3.16.0 (cached) Processing 30/60: [camlzip: make install] Processing 31/60: [dune-configurator: rm] [camlzip: make install] -> retrieved owl.1.0.2-1 (cached) Processing 32/60: [dune-configurator: rm] [camlzip: make install] -> retrieved owl-base.1.0.2 (cached) Processing 33/60: [dune-configurator: rm] [camlzip: make install] Processing 34/60: [dune-configurator: rm] [owl-base: dune build] [camlzip: make install] - cp META-zip META && \ - ocamlfind install zip META *.cma *.a *.mli *.cmi *.cmti *.cmt gzip.cmx zip.cmx zlib.cmx zip.cmxa zip.cmxs dllcamlzip.so && \ - rm META - Installed /home/opam/.opam/4.14/lib/zip/zip.cmxs - Installed /home/opam/.opam/4.14/lib/zip/zip.cmxa - Installed /home/opam/.opam/4.14/lib/zip/zlib.cmx - Installed /home/opam/.opam/4.14/lib/zip/zip.cmx - Installed /home/opam/.opam/4.14/lib/zip/gzip.cmx - Installed /home/opam/.opam/4.14/lib/zip/zlib.cmt - Installed /home/opam/.opam/4.14/lib/zip/zip.cmt - Installed /home/opam/.opam/4.14/lib/zip/gzip.cmt - Installed /home/opam/.opam/4.14/lib/zip/zlib.cmti - Installed /home/opam/.opam/4.14/lib/zip/zip.cmti - Installed /home/opam/.opam/4.14/lib/zip/gzip.cmti - Installed /home/opam/.opam/4.14/lib/zip/zlib.cmi - Installed /home/opam/.opam/4.14/lib/zip/zip.cmi - Installed /home/opam/.opam/4.14/lib/zip/gzip.cmi - Installed /home/opam/.opam/4.14/lib/zip/zlib.mli - Installed /home/opam/.opam/4.14/lib/zip/zip.mli - Installed /home/opam/.opam/4.14/lib/zip/gzip.mli - Installed /home/opam/.opam/4.14/lib/zip/zip.a - Installed /home/opam/.opam/4.14/lib/zip/libcamlzip.a - Installed /home/opam/.opam/4.14/lib/zip/zip.cma - Installed /home/opam/.opam/4.14/lib/stublibs/dllcamlzip.so - Installed /home/opam/.opam/4.14/lib/stublibs/dllcamlzip.so.owner - ocamlfind: [WARNING] You have installed DLLs but the directory /home/opam/.opam/4.14/lib/stublibs is not mentioned in ld.conf - Installed /home/opam/.opam/4.14/lib/zip/META - cp META-camlzip META && \ - ocamlfind install camlzip META && \ - rm META - Installed /home/opam/.opam/4.14/lib/camlzip/META -> installed camlzip.1.12 Processing 34/60: [dune-configurator: rm] [owl-base: dune build] Processing 35/60: [dune-configurator: rm] [npy: dune build] [owl-base: dune build] -> retrieved owl-plplot.1.0.2 (cached) Processing 36/60: [dune-configurator: rm] [npy: dune build] [owl-base: dune build] -> retrieved plplot.5.12.0 (cached) Processing 37/60: [dune-configurator: rm] [npy: dune build] [owl-base: dune build] -> retrieved sexplib0.v0.16.0 (cached) Processing 38/60: [dune-configurator: rm] [npy: dune build] [owl-base: dune build] [sexplib0: dune build] -> compiled npy.0.0.9 Processing 38/60: [dune-configurator: rm] [owl-base: dune build] [sexplib0: dune build] -> installed npy.0.0.9 Processing 39/60: [dune-configurator: rm] [owl-base: dune build] [sexplib0: dune build] -> retrieved stdio.v0.16.0 (cached) Processing 39/60: [dune-configurator: dune build] [owl-base: dune build] [sexplib0: dune build] -> retrieved stdlib-shims.0.3.0 (cached) Processing 40/60: [dune-configurator: dune build] [owl-base: dune build] [sexplib0: dune build] [stdlib-shims: dune build] -> compiled stdlib-shims.0.3.0 Processing 40/60: [dune-configurator: dune build] [owl-base: dune build] [sexplib0: dune build] -> installed stdlib-shims.0.3.0 Processing 41/60: [dune-configurator: dune build] [owl-base: dune build] [sexplib0: dune build] Processing 42/60: [dune-configurator: dune build] [integers: dune build] [owl-base: dune build] [sexplib0: dune build] -> compiled sexplib0.v0.16.0 Processing 42/60: [dune-configurator: dune build] [integers: dune build] [owl-base: dune build] -> installed sexplib0.v0.16.0 Processing 43/60: [dune-configurator: dune build] [integers: dune build] [owl-base: dune build] -> compiled integers.0.7.0 Processing 43/60: [dune-configurator: dune build] [owl-base: dune build] -> installed integers.0.7.0 Processing 44/60: [dune-configurator: dune build] [owl-base: dune build] -> compiled dune-configurator.3.16.0 Processing 44/60: [owl-base: dune build] -> installed dune-configurator.3.16.0 Processing 45/60: [owl-base: dune build] Processing 46/60: [base: dune build] [owl-base: dune build] Processing 47/60: [base: dune build] [ctypes: dune build] [owl-base: dune build] Processing 48/60: [base: dune build] [ctypes: dune build] [owl-base: dune build] [plplot: dune build] - (cd _build/default/src && /usr/bin/gcc -O2 -fno-strict-aliasing -fwrapv -pthread -fPIC -D_FILE_OFFSET_BITS=64 -O2 -fno-strict-aliasing -fwrapv -pthread -fPIC -g -O2 -I/usr/include/plplot -g -I /home/opam/.opam/4.14/lib/ocaml -o plplot_impl.o -c plplot_impl.c) - In file included from /usr/include/plplot/plplotP.h:155, - from plplot_impl.c:29: - /usr/include/plplot/plstrm.h:786:13: warning: "string_length" is deprecated: use "caml_string_length" instead - 786 | PLFLT string_length; - | ^~~~~~~~~~~~~~~~~~ - plplot_impl.c: In function 'ml_plotter': - plplot_impl.c:68:14: warning: assignment discards 'const' qualifier from pointer target type [-Wdiscarded-qualifiers] - 68 | pltr = caml_named_value( CAML_PLPLOT_PLOTTER_FUNC_NAME ); - | ^ - plplot_impl.c: In function 'ml_defined': - plplot_impl.c:100:17: warning: assignment discards 'const' qualifier from pointer target type [-Wdiscarded-qualifiers] - 100 | defined = caml_named_value( CAML_PLPLOT_DEFINED_FUNC_NAME ); - | ^ - plplot_impl.c: In function 'ml_mapform': - plplot_impl.c:122:17: warning: assignment discards 'const' qualifier from pointer target type [-Wdiscarded-qualifiers] - 122 | mapform = caml_named_value( CAML_PLPLOT_MAPFORM_FUNC_NAME ); - | ^ - plplot_impl.c: In function 'ml_labelfunc': - plplot_impl.c:152:13: warning: "callback" is deprecated: use "caml_callback" instead - 152 | static value * callback = NULL; - | ^~~~~~~~~~~~~~~~~~~~~~~ - plplot_impl.c:153:13: warning: "callback" is deprecated: use "caml_callback" instead - 153 | if ( callback == NULL ) - | ^~~~~~~~~~~~~~~ - plplot_impl.c:154:13: warning: "callback" is deprecated: use "caml_callback" instead - 154 | callback = caml_named_value( CAML_PLPLOT_LABEL_FUNC_NAME ); - | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - plplot_impl.c:154:18: warning: assignment discards 'const' qualifier from pointer target type [-Wdiscarded-qualifiers] - 154 | callback = caml_named_value( CAML_PLPLOT_LABEL_FUNC_NAME ); - | ^ - plplot_impl.c:159:13: warning: "callback" is deprecated: use "caml_callback" instead - 159 | caml_callback2( *callback, Val_int( axis - 1 ), caml_copy_double( n ) ); - | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - plplot_impl.c: In function 'ml_abort': - plplot_impl.c:176:17: warning: assignment discards 'const' qualifier from pointer target type [-Wdiscarded-qualifiers] - 176 | handler = caml_named_value( CAML_PLPLOT_ABORT_FUNC_NAME ); - | ^ - plplot_impl.c: In function 'ml_exit': - plplot_impl.c:195:17: warning: assignment discards 'const' qualifier from pointer target type [-Wdiscarded-qualifiers] - 195 | handler = caml_named_value( CAML_PLPLOT_EXIT_FUNC_NAME ); - | ^ - plplot_impl.c: In function 'ml_transform': - plplot_impl.c:216:19: warning: assignment discards 'const' qualifier from pointer target type [-Wdiscarded-qualifiers] - 216 | transform = caml_named_value( CAML_PLPLOT_TRANSFORM_FUNC_NAME ); - | ^ - plplot_impl.c: In function 'get_ml_plotter_func': - plplot_impl.c:235:14: warning: assignment discards 'const' qualifier from pointer target type [-Wdiscarded-qualifiers] - 235 | pltr = caml_named_value( CAML_PLPLOT_PLOTTER_FUNC_NAME ); - | ^ - plplot_impl.c: In function 'get_ml_defined_func': - plplot_impl.c:252:17: warning: assignment discards 'const' qualifier from pointer target type [-Wdiscarded-qualifiers] - 252 | defined = caml_named_value( CAML_PLPLOT_DEFINED_FUNC_NAME ); - | ^ - plplot_impl.c: In function 'get_ml_mapform_func': - plplot_impl.c:269:17: warning: assignment discards 'const' qualifier from pointer target type [-Wdiscarded-qualifiers] - 269 | mapform = caml_named_value( CAML_PLPLOT_MAPFORM_FUNC_NAME ); - | ^ - plplot_impl.c: In function 'ml_plslabelfunc': - plplot_impl.c:289:15: warning: assignment discards 'const' qualifier from pointer target type [-Wdiscarded-qualifiers] - 289 | label = caml_named_value( CAML_PLPLOT_LABEL_FUNC_NAME ); - | ^ - plplot_impl.c: In function 'ml_plsabort': - plplot_impl.c:311:17: warning: assignment discards 'const' qualifier from pointer target type [-Wdiscarded-qualifiers] - 311 | handler = caml_named_value( CAML_PLPLOT_ABORT_FUNC_NAME ); - | ^ - plplot_impl.c: In function 'ml_plsexit': - plplot_impl.c:330:17: warning: assignment discards 'const' qualifier from pointer target type [-Wdiscarded-qualifiers] - 330 | handler = caml_named_value( CAML_PLPLOT_EXIT_FUNC_NAME ); - | ^ - plplot_impl.c: In function 'ml_plstransform': - plplot_impl.c:351:17: warning: assignment discards 'const' qualifier from pointer target type [-Wdiscarded-qualifiers] - 351 | handler = caml_named_value( CAML_PLPLOT_TRANSFORM_FUNC_NAME ); - | ^ - plplot_impl.c: In function 'ml_plparseopts': - plplot_impl.c:704:41: warning: passing argument 2 of 'c_plparseopts' from incompatible pointer type [-Wincompatible-pointer-types] - 704 | result = plparseopts( &argv_length, c_argv, combined_parse_method ); - | ^~~~~~ - | | - | const char ** - In file included from /usr/include/plplot/plplotP.h:151: - /usr/include/plplot/plplot.h:2305:46: note: expected 'PLCHAR_NC_MATRIX' {aka 'char **'} but argument is of type 'const char **' - 2305 | c_plparseopts( int *p_argc, PLCHAR_NC_MATRIX argv, PLINT mode ); - | ~~~~~~~~~~~~~~~~~^~~~ -> compiled plplot.5.12.0 Processing 48/60: [base: dune build] [ctypes: dune build] [owl-base: dune build] -> installed plplot.5.12.0 Processing 49/60: [base: dune build] [ctypes: dune build] [owl-base: dune build] -> compiled owl-base.1.0.2 Processing 49/60: [base: dune build] [ctypes: dune build] -> installed owl-base.1.0.2 Processing 50/60: [base: dune build] [ctypes: dune build] Processing 50/60: [base: dune build] [ctypes: dune install] -> compiled ctypes.0.23.0 Processing 50/60: [base: dune build] -> installed ctypes.0.23.0 Processing 51/60: [base: dune build] Processing 52/60: [base: dune build] [eigen: dune build] -> compiled base.v0.16.3 Processing 52/60: [eigen: dune build] -> installed base.v0.16.3 Processing 53/60: [eigen: dune build] Processing 54/60: [eigen: dune build] [stdio: dune build] -> compiled stdio.v0.16.0 Processing 54/60: [eigen: dune build] -> installed stdio.v0.16.0 Processing 55/60: [eigen: dune build] + /home/opam/.opam/4.14/bin/dune "build" "-p" "eigen" "-j" "39" (CWD=/home/opam/.opam/4.14/.opam-switch/build/eigen.0.3.3) - (cd _build/default/eigen_cpp && /usr/bin/gcc -O2 -fno-strict-aliasing -fwrapv -pthread -fPIC -fPIC -ansi -pedantic -O3 -std=c++11 -Ofast -march=native -mfpmath=sse -msse2 -funroll-loops -ffast-math -g -I /home/opam/.opam/4.14/lib/ocaml -I /home/opam/.opam/4.14/lib/bigarray-compat -I /home/opam/.opam/4.14/lib/ctypes -I /home/opam/.opam/4.14/lib/integers -I /home/opam/.opam/4.14/lib/stdlib-shims -I lib -I lib/unsupported -o eigen_tensor.o -c lib/eigen_tensor.cpp) - In file included from lib/unsupported/Eigen/CXX11/Tensor:105, - from lib/eigen_tensor.cpp:8: - lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:96:65: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::MakePointer>, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h:61:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const TensorBase<Derived, 0>&) [with T = TensorMap<Tensor<float, 4, 1> >; std::ostream = std::basic_ostream<char>]' - lib/eigen_tensor_s.cpp:19:16: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:162:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes] - 162 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1), - | ^~~~ - In file included from lib/unsupported/Eigen/CXX11/Tensor:133: - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:104:21: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::MakePointer>, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h:61:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const TensorBase<Derived, 0>&) [with T = TensorMap<Tensor<float, 4, 1> >; std::ostream = std::basic_ostream<char>]' - lib/eigen_tensor_s.cpp:19:16: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:100:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes] - 100 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size; - | ^~~~ - In file included from lib/unsupported/Eigen/CXX11/Tensor:113: - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice> >': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > > >::value' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]' - lib/eigen_tensor_s.cpp:35:107: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes] - 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1), - | ^~~~ - lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:100:55: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > > >::value' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]' - lib/eigen_tensor_s.cpp:35:107: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:42:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes] - 42 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1), - | ^~~~ - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice> >': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > > >::value' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]' - lib/eigen_tensor_s.cpp:51:135: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes] - 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1), - | ^~~~ - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:104:21: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:140:92: required from 'const int Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice> >::LDims' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:147:30: required from 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice> >' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > > >::value' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]' - lib/eigen_tensor_s.cpp:51:135: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:100:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes] - 100 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size; - | ^~~~ - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const std::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice> >': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const std::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const std::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const std::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const std::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > > >::value' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const std::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]' - lib/eigen_tensor_s.cpp:67:138: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes] - 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1), - | ^~~~ - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice> >': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >::value' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]' - lib/eigen_tensor_s.cpp:85:90: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes] - lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, Eigen::DefaultDevice>': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:97:54: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:85:107: required from 'const int Eigen::TensorEvaluator<const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::NumDims' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:86:34: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:104:107: required from 'const int Eigen::TensorEvaluator<const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>::NumDims' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:105:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >::value' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]' - lib/eigen_tensor_s.cpp:85:90: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:162:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes] - 162 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1), - | ^~~~ - lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, Eigen::DefaultDevice>': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:100:55: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >::value' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]' - lib/eigen_tensor_s.cpp:85:90: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:42:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes] - 42 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1), - | ^~~~ - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice> >': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >::value' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]' - lib/eigen_tensor_s.cpp:102:131: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes] - 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1), - | ^~~~ - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice> >': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:114:54: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:104:107: required from 'const int Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const std::array<long int, 5>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::NumDims' - ...TRUNCATED BY DUNE... - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: required from 'Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index, Index) const [with int AlignmentType = 0; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256d]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:414:63: required from 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 16; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]' - lib/Eigen/src/Core/products/GeneralMatrixVector.h:219:15: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]' - lib/eigen_tensor_d.cpp:115:131: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:110:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes] - 110 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size; - | ^~~~ - lib/unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h: In instantiation of 'const Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, Eigen::DefaultDevice>::Index Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, Eigen::DefaultDevice>::PacketSize': - lib/unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h:334:5: required from 'Eigen::CustomTensorEvaluator<Planes, Rows, Cols, ArgType, Device>::PacketReturnType Eigen::CustomTensorEvaluator<Planes, Rows, Cols, ArgType, Device>::packet(Index) const [with int LoadMode = 0; long int Planes = -1; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 3>; ArgType = const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256d; typename Tensor::Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: required from 'Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index, Index) const [with int AlignmentType = 0; Scalar = double; Index = long int; int side = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256d]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:377:58: required from 'Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index) const [with Scalar = double; Index = long int; int side = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256d]' - lib/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1974:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]' - lib/eigen_tensor_d.cpp:115:131: required from here - lib/unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h:40:52: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes] - 40 | internal::unpacket_traits<PacketReturnType>::size; - | ^~~~ - In file included from lib/unsupported/Eigen/CXX11/Tensor:119: - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketSize': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:187:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PatchDim = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 8>; ArgType = const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:196:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Strides = const std::array<long int, 8>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 2>; ArgType = const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256; typename Tensor::Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]' - lib/eigen_tensor_s.cpp:85:90: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:90:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes] - 90 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size; - | ^~~~ - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketSize': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:187:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PatchDim = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 8>; ArgType = const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:196:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Strides = const std::array<long int, 8>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 2>; ArgType = const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256d; typename Tensor::Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]' - lib/eigen_tensor_d.cpp:98:90: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:90:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes] - In file included from lib/unsupported/Eigen/CXX11/Tensor:127: - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketSize': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:260:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::packetColMajor(Index) const [with PaddingDimensions = const std::array<Eigen::IndexPair<long int>, 5>; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:184:14: required from 'Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PaddingDimensions = const std::array<Eigen::IndexPair<long int>, 5>; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:233:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PatchDim = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 8>; ArgType = const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:196:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Strides = const std::array<long int, 8>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]' - lib/eigen_tensor_s.cpp:85:90: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:93:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes] - 93 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size; - | ^~~~ - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketSize': - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:260:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::packetColMajor(Index) const [with PaddingDimensions = const std::array<Eigen::IndexPair<long int>, 5>; ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:184:14: required from 'Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PaddingDimensions = const std::array<Eigen::IndexPair<long int>, 5>; ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:233:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PatchDim = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 8>; ArgType = const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:196:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Strides = const std::array<long int, 8>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] - lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]' - lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]' - lib/eigen_tensor_d.cpp:98:90: required from here - lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:93:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes] -> compiled eigen.0.3.3 -> installed eigen.0.3.3 [owl: patch] applying 0001-Revert-update-config-file-for-publication.patch Processing 57/60: [owl: patch] Processing 57/60: [owl: dune build] + /home/opam/.opam/4.14/bin/dune "build" "-p" "owl" "-j" "39" (CWD=/home/opam/.opam/4.14/.opam-switch/build/owl.1.0.2-1) - (cd _build/default && /home/opam/.opam/4.14/bin/ocamlc.opt -w -40 -g -bin-annot -I src/owl/.owl.objs/byte -I /home/opam/.opam/4.14/lib/bigarray-compat -I /home/opam/.opam/4.14/lib/camlzip -I /home/opam/.opam/4.14/lib/ctypes -I /home/opam/.opam/4.14/lib/ctypes/stubs -I /home/opam/.opam/4.14/lib/eigen -I /home/opam/.opam/4.14/lib/eigen/cpp -I /home/opam/.opam/4.14/lib/integers -I /home/opam/.opam/4.14/lib/npy -I /home/opam/.opam/4.14/lib/owl-base -I /home/opam/.opam/4.14/lib/stdlib-shims -I /home/opam/.opam/4.14/lib/zip -no-alias-deps -o src/owl/.owl.objs/byte/owl_parallel.cmo -c -impl src/owl/owl_parallel.ml) - File "src/owl/working/owl_parallel.ml", line 280, characters 18-49: - Warning 5 [ignored-partial-application]: this function application is partial, - maybe some arguments are missing. - (cd _build/default && /home/opam/.opam/4.14/bin/ocamlopt.opt -w -40 -g -I src/owl/.owl.objs/byte -I src/owl/.owl.objs/native -I /home/opam/.opam/4.14/lib/bigarray-compat -I /home/opam/.opam/4.14/lib/camlzip -I /home/opam/.opam/4.14/lib/ctypes -I /home/opam/.opam/4.14/lib/ctypes/stubs -I /home/opam/.opam/4.14/lib/eigen -I /home/opam/.opam/4.14/lib/eigen/cpp -I /home/opam/.opam/4.14/lib/integers -I /home/opam/.opam/4.14/lib/npy -I /home/opam/.opam/4.14/lib/owl-base -I /home/opam/.opam/4.14/lib/stdlib-shims -I /home/opam/.opam/4.14/lib/zip -intf-suffix .ml -no-alias-deps -o src/owl/.owl.objs/native/owl_parallel.cmx -c -impl src/owl/owl_parallel.ml) - File "src/owl/working/owl_parallel.ml", line 280, characters 18-49: - Warning 5 [ignored-partial-application]: this function application is partial, - maybe some arguments are missing. - (cd _build/default/src/owl && /usr/bin/gcc -O2 -fno-strict-aliasing -fwrapv -pthread -fPIC -D_FILE_OFFSET_BITS=64 -O2 -fno-strict-aliasing -fwrapv -pthread -fPIC -I/usr/include/x86_64-linux-gnu/openblas-pthread/ -g -O3 -Ofast -march=native -mfpmath=sse -funroll-loops -ffast-math -DSFMT_MEXP=19937 -msse2 -fno-strict-aliasing -Wno-tautological-constant-out-of-range-compare -Wno-logical-op-parentheses -g -I /home/opam/.opam/4.14/lib/ocaml -I /home/opam/.opam/4.14/lib/bigarray-compat -I /home/opam/.opam/4.14/lib/camlzip -I /home/opam/.opam/4.14/lib/ctypes -I /home/opam/.opam/4.14/lib/ctypes/stubs -I /home/opam/.opam/4.14/lib/eigen -I /home/opam/.opam/4.14/lib/eigen/cpp -I /home/opam/.opam/4.14/lib/integers -I /home/opam/.opam/4.14/lib/npy -I /home/opam/.opam/4.14/lib/owl-base -I /home/opam/.opam/4.14/lib/stdlib-shims -I /home/opam/.opam/4.14/lib/zip -o owl_ndarray_conv_stub.o -c owl_ndarray_conv_stub.c) - In file included from src/owl/core/owl_ndarray_conv_stub.c:34: - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_float32_ndarray_conv_spatial_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2506:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2513:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2515:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2522:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_float32_ndarray_conv_spatial_backward_kernel_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2603:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2606:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2613:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2615:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2621:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2621:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_float32_ndarray_conv_spatial_backward_input_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2699:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2713:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_float32_ndarray_conv_cuboid_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2817:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2824:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2826:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2836:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_float32_ndarray_conv_cuboid_backward_kernel_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2933:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2938:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2945:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2954:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2954:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_float32_ndarray_conv_cuboid_backward_input_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:3050:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:3069:13: warning: "output_val" is deprecated: use "caml_output_val" instead - In file included from src/owl/core/owl_ndarray_conv_stub.c:71: - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_float64_ndarray_conv_spatial_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2506:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2513:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2515:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2522:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_float64_ndarray_conv_spatial_backward_kernel_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2603:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2606:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2613:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2615:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2621:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2621:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_float64_ndarray_conv_spatial_backward_input_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2699:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2713:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_float64_ndarray_conv_cuboid_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2817:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2824:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2826:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2836:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_float64_ndarray_conv_cuboid_backward_kernel_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2933:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2938:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2945:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2954:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2954:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_float64_ndarray_conv_cuboid_backward_input_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:3050:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:3069:13: warning: "output_val" is deprecated: use "caml_output_val" instead - In file included from src/owl/core/owl_ndarray_conv_stub.c:98: - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_complex32_ndarray_conv_spatial_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2506:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2513:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2515:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2522:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_complex32_ndarray_conv_spatial_backward_kernel_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2603:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2606:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2613:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2615:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2621:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2621:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_complex32_ndarray_conv_spatial_backward_input_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2699:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2713:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_complex32_ndarray_conv_cuboid_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2817:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2824:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2826:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2836:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_complex32_ndarray_conv_cuboid_backward_kernel_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2933:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2938:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2945:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2954:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2954:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_complex32_ndarray_conv_cuboid_backward_input_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:3050:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:3069:13: warning: "output_val" is deprecated: use "caml_output_val" instead - In file included from src/owl/core/owl_ndarray_conv_stub.c:115: - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_complex64_ndarray_conv_spatial_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2506:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2513:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2515:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2522:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_complex64_ndarray_conv_spatial_backward_kernel_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2603:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2606:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2613:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2615:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2621:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2621:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_complex64_ndarray_conv_spatial_backward_input_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2699:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2713:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_complex64_ndarray_conv_cuboid_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2817:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2824:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2826:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2836:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_complex64_ndarray_conv_cuboid_backward_kernel_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:2933:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2938:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2945:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2954:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:2954:13: warning: "input_val" is deprecated: use "caml_input_val" instead - src/owl/core/owl_ndarray_conv_impl.h: In function 'stub_complex64_ndarray_conv_cuboid_backward_input_naive_native': - src/owl/core/owl_ndarray_conv_impl.h:3050:13: warning: "output_val" is deprecated: use "caml_output_val" instead - src/owl/core/owl_ndarray_conv_impl.h:3069:13: warning: "output_val" is deprecated: use "caml_output_val" instead - At top level: - cc1: note: unrecognized command-line option '-Wno-logical-op-parentheses' may have been intended to silence earlier diagnostics - cc1: note: unrecognized command-line option '-Wno-tautological-constant-out-of-range-compare' may have been intended to silence earlier diagnostics -> compiled owl.1.0.2-1 -> installed owl.1.0.2-1 Processing 59/60: [owl-plplot: dune build] + /home/opam/.opam/4.14/bin/dune "build" "-p" "owl-plplot" "-j" "39" (CWD=/home/opam/.opam/4.14/.opam-switch/build/owl-plplot.1.0.2) -> compiled owl-plplot.1.0.2 -> installed owl-plplot.1.0.2 Done. # Run eval $(opam env) to update the current shell environment 2024-09-12 19:50.31 ---> saved as "0b1079527f12be91fff18d7214efc190a16eceeec2d91f550ab5d5bc8eb0140d" /home/opam: (run (shell "opam exec -- ~/voodoo-prep -u owl-plplot:e6e828895a9a57254d995e901d1693f1,plplot:f3efbf413f33ad300138ae8ba28797a9,owl:e6155a3e09362f46fa86a53533993ede")) 2024-09-12 19:50.34 ---> saved as "e1ff18711a1fbb6fde1495804ce267f9e3ebc51e1fb0bfc32631c9f260d4ff39" /home/opam: (run (network host) (secrets (ssh_privkey (target /home/opam/.ssh/id_rsa)) (ssh_pubkey (target /home/opam/.ssh/id_rsa.pub)) (ssh_config (target /home/opam/.ssh/config))) (shell "(echo '0.655988') && (for DATA in prep/universes/e6155a3e09362f46fa86a53533993ede/owl/1.0.2-1,owl.1.0.2-1-e6155a3e09362f46fa86a53533993ede,owl.1.0.2-1 prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0,plplot.5.12.0-f3efbf413f33ad300138ae8ba28797a9,plplot.5.12.0 prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2,owl-plplot.1.0.2-e6e828895a9a57254d995e901d1693f1,owl-plplot.1.0.2; do IFS=\",\"; set -- $DATA; ([ -d $1 ] || (echo \"FAILED:$2\" && mkdir -p $1 && cp ~/opam.err.log $1 && opam show $3 --raw > $1/opam)) && (shopt -s nullglob && ((tar -cvf $1.tar $1/* && rm -R $1/* && mv $1.tar $1/content.tar) || (echo 'Empty directory'))) done) && (for DATA in prep/universes/e6155a3e09362f46fa86a53533993ede/owl/1.0.2-1,owl.1.0.2-1-e6155a3e09362f46fa86a53533993ede,owl.1.0.2-1 prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0,plplot.5.12.0-f3efbf413f33ad300138ae8ba28797a9,plplot.5.12.0 prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2,owl-plplot.1.0.2-e6e828895a9a57254d995e901d1693f1,owl-plplot.1.0.2; do IFS=\",\"; set -- $DATA; rsync -aR --no-p ./$1 docs.ci.ocaml.org:/data/.; done) && (for DATA in prep/universes/e6155a3e09362f46fa86a53533993ede/owl/1.0.2-1,owl.1.0.2-1-e6155a3e09362f46fa86a53533993ede,owl.1.0.2-1 prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0,plplot.5.12.0-f3efbf413f33ad300138ae8ba28797a9,plplot.5.12.0 prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2,owl-plplot.1.0.2-e6e828895a9a57254d995e901d1693f1,owl-plplot.1.0.2; do IFS=\",\"; set -- $DATA; HASH=$((sha256sum $1/content.tar | cut -d \" \" -f 1) || echo -n 'empty'); printf \"HASHES:$2:$HASH\\n\"; done)")) 0.655988 prep/universes/e6155a3e09362f46fa86a53533993ede/owl/1.0.2-1/doc/ prep/universes/e6155a3e09362f46fa86a53533993ede/owl/1.0.2-1/doc/owl/ prep/universes/e6155a3e09362f46fa86a53533993ede/owl/1.0.2-1/doc/owl/CHANGES.md 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prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0/doc/plplot/CHANGES prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0/doc/plplot/LICENSE prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0/doc/plplot/README.md prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0/lib/ prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0/lib/plplot/ prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0/lib/plplot/plplot.ocamlobjinfo prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0/lib/plplot/.private/ prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0/lib/plplot/.private/plplot__Plplot_core.cmi prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0/lib/plplot/.private/plplot__Plplot_core.cmt prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0/lib/plplot/.private/plplot__Plplot_core.cmti prep/universes/f3efbf413f33ad300138ae8ba28797a9/plplot/5.12.0/lib/plplot/META 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prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2/lib/ prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2/lib/owl-plplot/ prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2/lib/owl-plplot/owl_plplot.ocamlobjinfo prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2/lib/owl-plplot/META prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2/lib/owl-plplot/dune-package prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2/lib/owl-plplot/owl_plplot.cmi prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2/lib/owl-plplot/owl_plplot.cmt prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2/lib/owl-plplot/owl_plplot__.cmi prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2/lib/owl-plplot/owl_plplot__.cmt prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2/lib/owl-plplot/owl_plplot__Owl_plot.cmi prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2/lib/owl-plplot/owl_plplot__Owl_plot.cmt prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2/lib/owl-plplot/owl_plplot__Owl_plot.cmti prep/universes/e6e828895a9a57254d995e901d1693f1/owl-plplot/1.0.2/opam Warning: Permanently added '[docs.ci.ocaml.org]:2222' (ED25519) to the list of known hosts. Warning: Permanently added '[docs.ci.ocaml.org]:2222' (ED25519) to the list of known hosts. Warning: Permanently added '[docs.ci.ocaml.org]:2222' (ED25519) to the list of known hosts. HASHES:owl.1.0.2-1-e6155a3e09362f46fa86a53533993ede:8342b358cdb5d8ec98f83cd3e2999cb02a8ac3ff681511a6bebe0b883a9d02e1 HASHES:plplot.5.12.0-f3efbf413f33ad300138ae8ba28797a9:bd99fd510faf0b71f4a85ea8ffd278cfc1f6467f847ae82d16332ca2545d6341 HASHES:owl-plplot.1.0.2-e6e828895a9a57254d995e901d1693f1:be1b37b70764439ebfee8f893039ee8096b8b538d7c668d60628fa261807b3c3 2024-09-12 19:50.40 ---> saved as "c6648ca4e517bb021d982f3dd0a7b1759f36fa160f061b7f2090b8d90fdab146" Job succeeded 2024-09-12 19:58.08: owl-plplot.1.0.2-e6e828895a9a57254d995e901d1693f1 -> be1b37b70764439ebfee8f893039ee8096b8b538d7c668d60628fa261807b3c3 2024-09-12 19:58.08: plplot.5.12.0-f3efbf413f33ad300138ae8ba28797a9 -> bd99fd510faf0b71f4a85ea8ffd278cfc1f6467f847ae82d16332ca2545d6341 2024-09-12 19:58.08: owl.1.0.2-1-e6155a3e09362f46fa86a53533993ede -> 8342b358cdb5d8ec98f83cd3e2999cb02a8ac3ff681511a6bebe0b883a9d02e1 2024-09-12 19:58.08: Job succeeded