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# Description:
# Contains ops for working with statistical distributions,
# particularly useful for Bayesian inference.
# APIs here are meant to evolve over time.
package(default_visibility = [
"//learning/brain/contrib/bayesflow:__subpackages__",
"//tensorflow:__subpackages__",
])
licenses(["notice"]) # Apache 2.0
exports_files(["LICENSE"])
load("//tensorflow:tensorflow.bzl", "cuda_py_test")
py_library(
name = "bayesflow_py",
srcs = ["__init__.py"] + glob(["python/ops/*.py"]),
srcs_version = "PY2AND3",
deps = [
"//tensorflow/contrib/distributions:distributions_py",
"//tensorflow/contrib/framework:framework_py",
"//tensorflow/python:array_ops",
"//tensorflow/python:control_flow_ops",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:functional_ops",
"//tensorflow/python:gradients",
"//tensorflow/python:math_ops",
"//tensorflow/python:nn",
"//tensorflow/python:nn_ops",
"//tensorflow/python:platform",
"//tensorflow/python:random_ops",
"//tensorflow/python:state_ops",
"//tensorflow/python:util",
"//third_party/py/numpy",
],
)
cuda_py_test(
name = "monte_carlo_test",
size = "small",
srcs = ["python/kernel_tests/monte_carlo_test.py"],
additional_deps = [
":bayesflow_py",
"//third_party/py/numpy",
"//tensorflow/contrib/distributions:distributions_py",
"//tensorflow/contrib/layers:layers_py",
"//tensorflow/python/ops/distributions",
"//tensorflow/python:client_testlib",
"//tensorflow/python:framework",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:framework_test_lib",
"//tensorflow/python:gradients",
"//tensorflow/python:math_ops",
"//tensorflow/python:platform_test",
"//tensorflow/python:random_seed",
],
)
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