fix tests for numpy 2.0 compatibility

PiperOrigin-RevId: 677662507
google · Sep 23, 2024 · fcd0071 · fcd0071
1 parent d584551
commit fcd0071
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Showing 2 changed files with 14 additions and 24 deletions.
diff --git a/tests/jax_utils_test.py b/tests/jax_utils_test.py
@@ -17,12 +17,12 @@
 from functools import partial
 
 from absl.testing import absltest
+from absl.testing import parameterized
 import chex
+from flax import jax_utils
 import jax
+import jax.numpy as jnp
 import numpy as np
-from absl.testing import parameterized
-
-from flax import jax_utils
 
 NDEV = 4
 
@@ -44,6 +44,7 @@ def test_basics(self, dtype, bs):
     # Just tests that basic calling works without exploring caveats.
     @partial(jax_utils.pad_shard_unpad, static_argnums=())
     def add(a, b):
+      b = jnp.asarray(b, dtype=dtype)
       return a + b
 
     x = np.arange(bs, dtype=dtype)
@@ -58,7 +59,7 @@ def test_trees(self, dtype, bs):
     def add(a, b):
       return a['a'] + b[0]
 
-    x = np.arange(bs, dtype=dtype)
+    x = jnp.arange(bs, dtype=dtype)
     y = add(dict(a=x), (10 * x,))
     chex.assert_type(y.dtype, x.dtype)
     np.testing.assert_allclose(np.float64(y), np.float64(x + 10 * x))
@@ -69,12 +70,13 @@ def test_min_device_batch_avoids_recompile(self, dtype):
     @jax.jit
     @chex.assert_max_traces(n=1)
     def add(a, b):
+      b = jnp.asarray(b, dtype=dtype)
       return a + b
 
     chex.clear_trace_counter()
 
     for bs in self.BATCH_SIZES:
-      x = np.arange(bs, dtype=dtype)
+      x = jnp.arange(bs, dtype=dtype)
       y = add(x, 10 * x, min_device_batch=9)  # pylint: disable=unexpected-keyword-arg
       chex.assert_type(y.dtype, x.dtype)
       np.testing.assert_allclose(np.float64(y), np.float64(x + 10 * x))
@@ -83,9 +85,9 @@ def add(a, b):
   def test_static_argnum(self, dtype, bs):
     @partial(jax_utils.pad_shard_unpad, static_argnums=(1,))
     def add(a, b):
-      return a + b
+      return a + jnp.asarray(b, dtype=dtype)
 
-    x = np.arange(bs, dtype=dtype)
+    x = jnp.arange(bs, dtype=dtype)
     y = add(x, 10)
     chex.assert_type(y.dtype, x.dtype)
     np.testing.assert_allclose(np.float64(y), np.float64(x + 10))
@@ -96,9 +98,11 @@ def test_static_argnames(self, dtype, bs):
     # test the default/most canonical path where `params` are the first arg.
     @partial(jax_utils.pad_shard_unpad, static_argnames=('b',))
     def add(params, a, *, b):
+      params = jnp.asarray(params, dtype=dtype)
+      b = jnp.asarray(b, dtype=dtype)
       return params * a + b
 
-    x = np.arange(bs, dtype=dtype)
+    x = jnp.arange(bs, dtype=dtype)
     y = add(5, x, b=10)
     chex.assert_type(y.dtype, x.dtype)
     np.testing.assert_allclose(np.float64(y), np.float64(5 * x + 10))

diff --git a/tests/serialization_test.py b/tests/serialization_test.py
@@ -197,8 +197,7 @@ def __call__(self):
     )
     self.assertEqual(variables, deserialized_state)
 
-  @parameterized.parameters(
-    [
+  @parameterized.parameters([
       'byte',
       'b',
       'ubyte',
@@ -222,11 +221,9 @@ def __call__(self):
       'd',
       'longdouble',
       'g',
-      'cfloat',
       'cdouble',
       'clongdouble',
       'm',
-      'bool8',
       'b1',
       'int64',
       'i8',
@@ -259,26 +256,15 @@ def __call__(self):
       'i1',
       'uint8',
       'u1',
-      'complex_',
-      'int0',
-      'uint0',
       'single',
       'csingle',
-      'singlecomplex',
-      'float_',
       'intc',
       'uintc',
-      'int_',
-      'longfloat',
-      'clongfloat',
-      'longcomplex',
-      'bool_',
       'int',
       'float',
       'complex',
       'bool',
-    ]
-  )
+  ])
   def test_numpy_serialization(self, dtype):
     np.random.seed(0)
     if (