Bump to version 0.2.4 (#530)

examples/baseball.py

@@ -185,7 +185,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="Baseball batting average using HMC")
     parser.add_argument("-n", "--num-samples", nargs="?", default=3000, type=int)
     parser.add_argument("--num-warmup", nargs='?', default=1500, type=int)

examples/bnn.py

@@ -136,7 +136,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="Bayesian neural network example")
     parser.add_argument("-n", "--num-samples", nargs="?", default=2000, type=int)
     parser.add_argument("--num-warmup", nargs='?', default=1000, type=int)

examples/covtype.py

@@ -60,7 +60,7 @@ def main(args):
 
 
 if __name__ == '__main__':
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="parse args")
     parser.add_argument('-n', '--num-samples', default=100, type=int, help='number of samples')
     parser.add_argument('--num-steps', default=10, type=int, help='number of steps (for "HMC")')

examples/funnel.py

@@ -87,7 +87,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="Non-centered reparameterization example")
     parser.add_argument("-n", "--num-samples", nargs="?", default=1000, type=int)
     parser.add_argument("--num-warmup", nargs='?', default=1000, type=int)

examples/gp.py

@@ -129,7 +129,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="Gaussian Process example")
     parser.add_argument("-n", "--num-samples", nargs="?", default=1000, type=int)
     parser.add_argument("--num-warmup", nargs='?', default=1000, type=int)

examples/hmm.py

@@ -184,7 +184,7 @@ def main(args):
 
 
 if __name__ == '__main__':
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description='Semi-supervised Hidden Markov Model')
     parser.add_argument('--num-categories', default=3, type=int)
     parser.add_argument('--num-words', default=10, type=int)

examples/minipyro.py

@@ -58,7 +58,7 @@ def body_fn(i, val):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="Mini Pyro demo")
     parser.add_argument("-f", "--full-pyro", action="store_true", default=False)
     parser.add_argument("-n", "--num-steps", default=1001, type=int)

examples/neutra.py

@@ -154,7 +154,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="NeuTra HMC")
     parser.add_argument('-n', '--num-samples', nargs='?', default=4000, type=int)
     parser.add_argument('--num-warmup', nargs='?', default=1000, type=int)

examples/ode.py

@@ -100,7 +100,7 @@ def main(args):
 
 
 if __name__ == '__main__':
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description='Predator-Prey Model')
     parser.add_argument('-n', '--num-samples', nargs='?', default=1000, type=int)
     parser.add_argument('--num-warmup', nargs='?', default=1000, type=int)

examples/sparse_regression.py

@@ -322,7 +322,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="Gaussian Process example")
     parser.add_argument("-n", "--num-samples", nargs="?", default=1000, type=int)
     parser.add_argument("--num-warmup", nargs='?', default=500, type=int)

examples/stochastic_volatility.py

@@ -111,7 +111,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="Stochastic Volatility Model")
     parser.add_argument('-n', '--num-samples', nargs='?', default=600, type=int)
     parser.add_argument('--num-warmup', nargs='?', default=600, type=int)

examples/ucbadmit.py

@@ -129,7 +129,7 @@ def main(args):
 
 
 if __name__ == '__main__':
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description='UCBadmit gender discrimination using HMC')
     parser.add_argument('-n', '--num-samples', nargs='?', default=2000, type=int)
     parser.add_argument('--num-warmup', nargs='?', default=500, type=int)

examples/vae.py

@@ -131,7 +131,7 @@ def reconstruct_img(epoch, rng_key):
 
 
 if __name__ == '__main__':
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="parse args")
     parser.add_argument('-n', '--num-epochs', default=15, type=int, help='number of training epochs')
     parser.add_argument('-lr', '--learning-rate', default=1.0e-3, type=float, help='learning rate')

notebooks/source/bayesian_regression.ipynb

@@ -66,7 +66,7 @@
     "if \"NUMPYRO_SPHINXBUILD\" in os.environ:\n",
     "    set_matplotlib_formats('svg')\n",
     "\n",
-    "assert numpyro.__version__.startswith('0.2.3')"
+    "assert numpyro.__version__.startswith('0.2.4')"
    ]
   },
   {

notebooks/source/logistic_regression.ipynb

@@ -31,7 +31,7 @@
     "import numpyro.distributions as dist\n",
     "from numpyro.examples.datasets import COVTYPE, load_dataset\n",
     "from numpyro.infer import HMC, MCMC, NUTS\n",
-    "assert numpyro.__version__.startswith('0.2.3')\n",
+    "assert numpyro.__version__.startswith('0.2.4')\n",
     "\n",
     "# NB: replace gpu by cpu to run this notebook in cpu\n",
     "numpyro.set_platform(\"gpu\")"

notebooks/source/time_series_forecasting.ipynb

@@ -39,7 +39,7 @@
     "if \"NUMPYRO_SPHINXBUILD\" in os.environ:\n",
     "    set_matplotlib_formats('svg')\n",
     "\n",
-    "assert numpyro.__version__.startswith('0.2.3')"
+    "assert numpyro.__version__.startswith('0.2.4')"
    ]
   },
   {

numpyro/version.py

@@ -1,4 +1,4 @@
 # Copyright Contributors to the Pyro project.
 # SPDX-License-Identifier: Apache-2.0
 
-__version__ = '0.2.3'
+__version__ = '0.2.4'

setup.py

@@ -33,9 +33,9 @@
     author='Uber AI Labs',
     author_email='[email protected]',
     install_requires=[
-        # TODO: pin to a specific version for the release (unless JAX's API becomes stable)
-        'jax>=0.1.57',
-        'jaxlib>=0.1.37',
+        # TODO: pin to a specific version for the release (until JAX's API becomes stable)
+        'jax==0.1.57',
+        'jaxlib==0.1.37',
         'tqdm',
     ],
     extras_require={