filter out tests waiting for next tfp release (#1817)

* filter oout tests waiting for next tfp release

* add warning mathc

* fix warnings

* put warnings up

* move warning to top init

* use tree_map

* ignore yet another test

numpyro/__init__.py

@@ -2,6 +2,13 @@
 # SPDX-License-Identifier: Apache-2.0
 
 import logging
+import warnings
+
+warnings.filterwarnings(
+    "ignore", message=".*Attempting to hash a tracer.*", category=FutureWarning
+)
+
+# ruff: noqa: E402
 
 from numpyro import compat, diagnostics, distributions, handlers, infer, ops, optim
 from numpyro.distributions.distribution import enable_validation, validation_enabled

numpyro/contrib/control_flow/scan.py

@@ -224,7 +224,7 @@ def body_fn(wrapped_carry, x, prefix=None):
                 # return early if length = unroll_steps
                 if length == unroll_steps:
                     return wrapped_carry, (PytreeTrace({}), y0s)
-                wrapped_carry = device_put(wrapped_carry)
+                wrapped_carry = tree_map(device_put, wrapped_carry)
                 wrapped_carry, (pytree_trace, ys) = lax.scan(
                     body_fn, wrapped_carry, xs_, length - unroll_steps, reverse
                 )
@@ -324,7 +324,7 @@ def body_fn(wrapped_carry, x):
 
         return (i + 1, rng_key, carry), (PytreeTrace(trace), y)
 
-    wrapped_carry = device_put((0, rng_key, init))
+    wrapped_carry = tree_map(device_put, (0, rng_key, init))
     last_carry, (pytree_trace, ys) = lax.scan(
         body_fn, wrapped_carry, xs, length=length, reverse=reverse
     )

numpyro/infer/__init__.py

@@ -1,6 +1,7 @@
 # Copyright Contributors to the Pyro project.
 # SPDX-License-Identifier: Apache-2.0
 
+
 from numpyro.infer.barker import BarkerMH
 from numpyro.infer.elbo import (
     ELBO,

pyproject.toml

@@ -88,6 +88,7 @@ known-jax = ["flax", "haiku", "jax", "optax", "tensorflow_probability"]
 addopts = ["-v", "--color=yes"]
 filterwarnings = [
     "error",
+    "ignore:.*Attempting to hash a tracer:FutureWarning",
     "ignore:numpy.ufunc size changed,:RuntimeWarning",
     "ignore:Using a non-tuple sequence:FutureWarning",
     "ignore:jax.tree_structure is deprecated:FutureWarning",

test/contrib/test_tfp.py

@@ -35,6 +35,7 @@ def f(x):
     assert res.scale == 1
 
 
+@pytest.mark.skip(reason="Waiting for the next  tfp release")
 @pytest.mark.filterwarnings("ignore:can't resolve package")
 def test_transformed_distributions():
     from tensorflow_probability.substrates.jax import (
@@ -113,6 +114,7 @@ def make_kernel_fn(target_log_prob_fn):
     )
 
 
+@pytest.mark.skip(reason="Waiting for the next  tfp release")
 @pytest.mark.parametrize(
     "kernel, kwargs",
     [
@@ -166,6 +168,7 @@ def model(data):
     assert_allclose(jnp.mean(samples["loc"], 0), true_coef, atol=0.05)
 
 
+@pytest.mark.skip(reason="Waiting for the next  tfp release")
 @pytest.mark.parametrize(
     "kernel, kwargs",
     [
@@ -243,6 +246,7 @@ def test_sample_tfp_distributions():
 
 # test that sampling from unwrapped tensorflow_probability distributions works as
 # expected using numpyro.sample primitive
+@pytest.mark.skip(reason="Waiting for the next  tfp release")
 @pytest.mark.parametrize(
     "dist,args",
     [
@@ -270,6 +274,7 @@ def test_sample_unwrapped_tfp_distributions(dist, args):
 
 
 # test mixture distributions
+@pytest.mark.skip(reason="Waiting for the next  tfp release")
 def test_sample_unwrapped_mixture_same_family():
     from tensorflow_probability.substrates.jax import distributions as tfd