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@msaroufim
Created July 14, 2022 22:46
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(serve) ubuntu@ip-172-31-16-198:~/serve/binaries$ python build.py --dry_run
conda 4.12.0
## Started torchserve, model-archiver and workflow-archiver build
## In directory: /home/ubuntu/serve | Executing command: python setup.py bdist_wheel --release --universal
Executing command: python setup.py bdist_wheel --release --universal
## In directory: /home/ubuntu/serve/model-archiver | Executing command: python setup.py bdist_wheel --release --universal
Executing command: python setup.py bdist_wheel --release --universal
## In directory: /home/ubuntu/serve/workflow-archiver | Executing command: python setup.py bdist_wheel --release --universal
Executing command: python setup.py bdist_wheel --release --universal
## TorchServe wheel location: /home/ubuntu/serve/binaries/../dist/*.whl
## Model archiver wheel location: model-archiver/dist/*.whl
## Workflow archiver wheel location: model-archiver/dist/*.whl
usage: conda [-h] [-V] command ...
conda is a tool for managing and deploying applications, environments and packages.
Options:
positional arguments:
command
clean Remove unused packages and caches.
compare Compare packages between conda environments.
config Modify configuration values in .condarc. This is modeled after the git config command. Writes to the user .condarc file (/home/ubuntu/.condarc) by default.
create Create a new conda environment from a list of specified packages.
help Displays a list of available conda commands and their help strings.
info Display information about current conda install.
init Initialize conda for shell interaction. [Experimental]
install Installs a list of packages into a specified conda environment.
list List linked packages in a conda environment.
package Low-level conda package utility. (EXPERIMENTAL)
remove Remove a list of packages from a specified conda environment.
uninstall Alias for conda remove.
run Run an executable in a conda environment.
search Search for packages and display associated information. The input is a MatchSpec, a query language for conda packages. See examples below.
update Updates conda packages to the latest compatible version.
upgrade Alias for conda update.
optional arguments:
-h, --help Show this help message and exit.
-V, --version Show the conda version number and exit.
conda commands available from other packages:
build
convert
debug
develop
env
index
inspect
metapackage
render
skeleton
usage: conda-build [-h] [-V] [-n] [--output] [--python PYTHON] [--perl PERL] [--numpy NUMPY] [--R R_BASE] [--lua LUA] [--bootstrap BOOTSTRAP] [--append-file APPEND_SECTIONS_FILE]
[--clobber-file CLOBBER_SECTIONS_FILE] [-m VARIANT_CONFIG_FILES] [-e EXCLUSIVE_CONFIG_FILES] [--old-build-string] [--use-channeldata] [--variants VARIANTS]
[--check] [--no-anaconda-upload] [--no-include-recipe] [-s] [-t] [--no-test] [-b] [--post] [-p] [--skip-existing] [--keep-old-work] [--dirty] [-q] [--debug]
[--token TOKEN] [--user USER] [--label LABELS] [--no-force-upload] [--password PASSWORD] [--sign SIGN] [--sign-with SIGN_WITH] [--identity IDENTITY]
[--config-file CONFIG_FILE] [--repository REPOSITORY] [--no-activate] [--no-build-id] [--build-id-pat BUILD_ID_PAT] [--croot CROOT] [--verify] [--no-verify]
[--strict-verify] [--output-folder OUTPUT_FOLDER] [--no-prefix-length-fallback] [--prefix-length-fallback] [--prefix-length _PREFIX_LENGTH] [--no-locking]
[--no-remove-work-dir] [--error-overlinking] [--no-error-overlinking] [--error-overdepending] [--no-error-overdepending] [--long-test-prefix]
[--no-long-test-prefix] [--keep-going] [--cache-dir CACHE_DIR] [--no-copy-test-source-files] [--merge-build-host] [--stats-file STATS_FILE]
[--extra-deps EXTRA_DEPS [EXTRA_DEPS ...]] [--extra-meta [KEY=VALUE [KEY=VALUE ...]]] [--suppress-variables] [-c CHANNEL] [--use-local] [--override-channels]
[--repodata-fn REPODATA_FNS]
RECIPE_PATH [RECIPE_PATH ...]
conda-build: error: the following arguments are required: RECIPE_PATH
conda 4.12.0
'conda' already present on the system. Proceeding without a fresh conda installation.
## Started torchserve, model-archiver and workflow-archiver conda build
## Using torchserve wheel: /home/ubuntu/serve/binaries/../dist/*.whl
## Using model archiver wheel: model-archiver/dist/*.whl
## Using workflow archiver wheel: workflow-archiver/dist/*.whl
## In directory: /home/ubuntu/serve; Executing command: /home/ubuntu/anaconda3/envs/serve/bin/conda build --output-folder /home/ubuntu/serve/binaries/conda/output --python=3.8 /home/ubuntu/serve/binaries/conda/torchserve
Executing command: /home/ubuntu/anaconda3/envs/serve/bin/conda build --output-folder /home/ubuntu/serve/binaries/conda/output --python=3.8 /home/ubuntu/serve/binaries/conda/torchserve
## In directory: /home/ubuntu/serve; Executing command: /home/ubuntu/anaconda3/envs/serve/bin/conda build --output-folder /home/ubuntu/serve/binaries/conda/output --python=3.9 /home/ubuntu/serve/binaries/conda/torchserve
Executing command: /home/ubuntu/anaconda3/envs/serve/bin/conda build --output-folder /home/ubuntu/serve/binaries/conda/output --python=3.9 /home/ubuntu/serve/binaries/conda/torchserve
## In directory: /home/ubuntu/serve; Executing command: /home/ubuntu/anaconda3/envs/serve/bin/conda build --output-folder /home/ubuntu/serve/binaries/conda/output --python=3.8 /home/ubuntu/serve/binaries/conda/torch-model-archiver
Executing command: /home/ubuntu/anaconda3/envs/serve/bin/conda build --output-folder /home/ubuntu/serve/binaries/conda/output --python=3.8 /home/ubuntu/serve/binaries/conda/torch-model-archiver
## In directory: /home/ubuntu/serve; Executing command: /home/ubuntu/anaconda3/envs/serve/bin/conda build --output-folder /home/ubuntu/serve/binaries/conda/output --python=3.9 /home/ubuntu/serve/binaries/conda/torch-model-archiver
Executing command: /home/ubuntu/anaconda3/envs/serve/bin/conda build --output-folder /home/ubuntu/serve/binaries/conda/output --python=3.9 /home/ubuntu/serve/binaries/conda/torch-model-archiver
## In directory: /home/ubuntu/serve; Executing command: /home/ubuntu/anaconda3/envs/serve/bin/conda build --output-folder /home/ubuntu/serve/binaries/conda/output --python=3.8 /home/ubuntu/serve/binaries/conda/torch-workflow-archiver
Executing command: /home/ubuntu/anaconda3/envs/serve/bin/conda build --output-folder /home/ubuntu/serve/binaries/conda/output --python=3.8 /home/ubuntu/serve/binaries/conda/torch-workflow-archiver
## In directory: /home/ubuntu/serve; Executing command: /home/ubuntu/anaconda3/envs/serve/bin/conda build --output-folder /home/ubuntu/serve/binaries/conda/output --python=3.9 /home/ubuntu/serve/binaries/conda/torch-workflow-archiver
Executing command: /home/ubuntu/anaconda3/envs/serve/bin/conda build --output-folder /home/ubuntu/serve/binaries/conda/output --python=3.9 /home/ubuntu/serve/binaries/conda/torch-workflow-archiver
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