Merge pull request #1466 from emilyfertig/r0.15

R0.15

Author: emilyfertig

tensorflow_probability/python/bijectors/blockwise_test.py

@@ -314,8 +314,9 @@ def call_forward(bij, x):
     self.assertAllClose(call_forward(unflat, x), blockwise.forward(x))
 
     # Type spec can be encoded/decoded.
-    enc = tf.__internal__.saved_model.encode_structure(blockwise._type_spec)
-    dec = tf.__internal__.saved_model.decode_proto(enc)
+    struct_coder = tf.__internal__.saved_model.StructureCoder()
+    enc = struct_coder.encode_structure(blockwise._type_spec)
+    dec = struct_coder.decode_proto(enc)
     self.assertEqual(blockwise._type_spec, dec)
 
   def testNonCompositeTensor(self):

tensorflow_probability/python/bijectors/chain_test.py

@@ -432,8 +432,9 @@ def call_forward(bij, x):
     self.assertAllClose(call_forward(unflat, x), chain.forward(x))
 
     # TypeSpec can be encoded/decoded.
-    enc = tf.__internal__.saved_model.encode_structure(chain._type_spec)
-    dec = tf.__internal__.saved_model.decode_proto(enc)
+    struct_coder = tf.__internal__.saved_model.StructureCoder()
+    enc = struct_coder.encode_structure(chain._type_spec)
+    dec = struct_coder.decode_proto(enc)
     self.assertEqual(chain._type_spec, dec)
 
   def testNonCompositeTensor(self):

tensorflow_probability/python/bijectors/joint_map_test.py

@@ -150,8 +150,9 @@ def call_forward(bij, x):
     self.assertAllCloseNested(call_forward(unflat, x), bij.forward(x))
 
     # Type spec can be encoded/decoded.
-    enc = tf.__internal__.saved_model.encode_structure(bij._type_spec)
-    dec = tf.__internal__.saved_model.decode_proto(enc)
+    struct_coder = tf.__internal__.saved_model.StructureCoder()
+    enc = struct_coder.encode_structure(bij._type_spec)
+    dec = struct_coder.decode_proto(enc)
     self.assertEqual(bij._type_spec, dec)
 
   def testNonCompositeTensor(self):

tensorflow_probability/python/experimental/util/composite_tensor.py

@@ -279,8 +279,9 @@ def composite_helper(v):
             mk_err_msg('(Unable to convert dependent entry \'{}\' of object '
                        '\'{}\': {})'.format(k, obj, str(e))))
   result = cls(**kwargs)
+  struct_coder = nested_structure_coder.StructureCoder()
   try:
-    nested_structure_coder.encode_structure(result._type_spec)  # pylint: disable=protected-access
+    struct_coder.encode_structure(result._type_spec)  # pylint: disable=protected-access
   except nested_structure_coder.NotEncodableError as e:
     raise NotImplementedError(
         mk_err_msg('(Unable to serialize: {})'.format(str(e))))

tensorflow_probability/python/internal/auto_composite_tensor_test.py

@@ -362,8 +362,9 @@ def test_save_restore_functor(self):
     a = tf.constant([3., 2.])
     ct = ThingWithCallableArg(a, f=f)
 
+    struct_coder = tf.__internal__.saved_model.StructureCoder()
     with self.assertRaisesRegex(ValueError, 'Cannot serialize'):
-      tf.__internal__.saved_model.encode_structure(ct._type_spec)  # pylint: disable=protected-access
+      struct_coder.encode_structure(ct._type_spec)  # pylint: disable=protected-access
 
     @tfp.experimental.auto_composite_tensor(module_name='my.module')
     class F(tfp.experimental.AutoCompositeTensor):
@@ -372,8 +373,8 @@ def __call__(self, *args, **kwargs):
         return f(*args, **kwargs)
 
     ct_functor = ThingWithCallableArg(a, f=F())
-    enc = tf.__internal__.saved_model.encode_structure(ct_functor._type_spec)
-    dec = tf.__internal__.saved_model.decode_proto(enc)
+    enc = struct_coder.encode_structure(ct_functor._type_spec)
+    dec = struct_coder.decode_proto(enc)
     self.assertEqual(dec, ct_functor._type_spec)
 
   def test_composite_tensor_callable_arg(self):

tensorflow_probability/python/mcmc/simple_step_size_adaptation_test.py

@@ -471,7 +471,7 @@ class SimpleStepSizeAdaptationStaticBroadcastingTest(test_util.TestCase):
   )
   def testBroadcasting(self, old_step_size, new_step_size):
     log_accept_ratio = tf.constant(
-        [[np.log(0.73), np.log(0.76), np.log(0.73)],
+        [[np.log(0.72), np.log(0.76), np.log(0.73)],
          [np.log(0.77), np.log(0.77), np.log(0.73)]],
         dtype=tf.float64)
     log_accept_ratio = tf1.placeholder_with_default(

tensorflow_probability/python/version.py

@@ -24,7 +24,7 @@
 # stable release (indicated by `_VERSION_SUFFIX = ''`). Outside the context of a
 # release branch, the current version is by default assumed to be a
 # 'development' version, labeled 'dev'.
-_VERSION_SUFFIX = 'dev'
+_VERSION_SUFFIX = ''
 
 # Example, '0.4.0-dev'
 __version__ = '.'.join([