Bump to version 0.3.0 (#697)

Author: fehiepsi

README.md

@@ -182,7 +182,7 @@ Pyro users will note that the API for model specification and inference is large
 
 ## Installation
 
-> **Limited Windows Support:** Note that NumPyro is untested on Windows, and will require building jaxlib from source. See this [JAX issue](https://github.com/google/jax/issues/438) for more details.
+> **Limited Windows Support:** Note that NumPyro is untested on Windows, and might require building jaxlib from source. See this [JAX issue](https://github.com/google/jax/issues/438) for more details. Alternatively, you can install [Windows Subsystem for Linux](https://docs.microsoft.com/en-us/windows/wsl/) and use NumPyro on it as on a Linux system. See also [CUDA on Windows Subsystem for Linux](https://developer.nvidia.com/cuda/wsl) if you want to use GPUs on Windows.
 
 To install NumPyro with a CPU version of JAX, you can use pip:
 
@@ -199,7 +199,7 @@ You can also install NumPyro from source:
 ```
 git clone https://github.com/pyro-ppl/numpyro.git
 # install jax/jaxlib first for CUDA support
-pip install -e .[dev]
+pip install -e .[dev]  # contains additional dependencies for NumPyro development
 ```
 
 ## Frequently Asked Questions

examples/annotation.py

@@ -264,7 +264,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.2.4")
+    assert numpyro.__version__.startswith("0.3.0")
     parser = argparse.ArgumentParser(description="Bayesian Models of Annotation")
     parser.add_argument("-n", "--num-samples", nargs="?", default=1000, type=int)
     parser.add_argument("--num-warmup", nargs="?", default=1000, type=int)

examples/baseball.py

@@ -196,7 +196,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.4')
+    assert numpyro.__version__.startswith('0.3.0')
     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('0.2.4')
+    assert numpyro.__version__.startswith('0.3.0')
     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

@@ -58,7 +58,7 @@ def main(args):
 
 
 if __name__ == '__main__':
-    assert numpyro.__version__.startswith('0.2.4')
+    assert numpyro.__version__.startswith('0.3.0')
     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

@@ -90,7 +90,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.4')
+    assert numpyro.__version__.startswith('0.3.0')
     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('0.2.4')
+    assert numpyro.__version__.startswith('0.3.0')
     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

@@ -189,7 +189,7 @@ def main(args):
 
 
 if __name__ == '__main__':
-    assert numpyro.__version__.startswith('0.2.4')
+    assert numpyro.__version__.startswith('0.3.0')
     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('0.2.4')
+    assert numpyro.__version__.startswith('0.3.0')
     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

@@ -145,7 +145,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.4')
+    assert numpyro.__version__.startswith('0.3.0')
     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)