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{% set name = "pyro-ppl" %} | |
{% set version = "0.3.1" %} | |
{% set sha256 = "c776ddc41c218e1d86f4ea177218688d458226ce6987559b818771b943b940c0" %} | |
package: | |
name: {{ name|lower }} | |
version: {{ version }} | |
source: | |
url: https://github.com/pyro-ppl/pyro/archive/{{ version }}.tar.gz | |
sha256: {{ sha256 }} | |
build: | |
noarch: python | |
number: 0 | |
script: "{{ PYTHON }} -m pip install . --no-deps -vv" | |
requirements: | |
host: | |
- python >=2.7,<3|>=3.6 | |
- pip | |
run: | |
- python >=2.7,<3|>=3.6 | |
- contextlib2 | |
- opt_einsum >=2.2 | |
- python-graphviz >=0.8 | |
- six >=1.10 | |
- pytorch >=1.0 | |
- tqdm >=4.28 | |
test: | |
imports: | |
- pyro | |
- pyro.contrib | |
- pyro.distributions | |
- pyro.infer | |
- pyro.nn | |
- pyro.ops | |
- pyro.optim | |
- pyro.params | |
- pyro.poutine | |
about: | |
home: http://pyro.ai/ | |
license: MIT | |
license_family: MIT | |
license_file: LICENSE.md | |
summary: 'A Python library for probabilistic modeling and inference' | |
description: | | |
Pyro is a universal probabilistic programming language (PPL) written in | |
Python and supported by PyTorch on the backend. Pyro enables flexible and | |
expressive deep probabilistic modeling, unifying the best of modern deep | |
learning and Bayesian modeling. | |
doc_url: http://docs.pyro.ai/ | |
dev_url: https://github.com/pyro-ppl/pyro | |
extra: | |
recipe-maintainers: | |
- fehiepsi |
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