Bump version to 1.0.1 for eager bug fix; update docs

PiperOrigin-RevId: 234203415

Author: Ryan Sepassi

docs/_project.yaml

@@ -1,5 +1,5 @@
 name: TensorFlow Datasets
-breadcrumb_name: Datasets v1.0.0
+breadcrumb_name: Datasets v1.0.1
 home_url: /datasets/
 parent_project_metadata_path: /_project.yaml
 description: >

docs/api_docs/python/_toc.yaml

@@ -8,8 +8,6 @@ toc:
       path: /datasets/api_docs/python/tfds/as_numpy
     - title: builder
       path: /datasets/api_docs/python/tfds/builder
-    - title: dataset_as_numpy
-      path: /datasets/api_docs/python/tfds/dataset_as_numpy
     - title: list_builders
       path: /datasets/api_docs/python/tfds/list_builders
     - title: load

docs/api_docs/python/index.md

@@ -18,7 +18,6 @@
 *  <a href="./tfds/core/Version.md"><code>tfds.core.Version</code></a>
 *  <a href="./tfds/core/get_tfds_path.md"><code>tfds.core.get_tfds_path</code></a>
 *  <a href="./tfds/core/lazy_imports.md"><code>tfds.core.lazy_imports</code></a>
-*  <a href="./tfds/dataset_as_numpy.md"><code>tfds.dataset_as_numpy</code></a>
 *  <a href="./tfds/download.md"><code>tfds.download</code></a>
 *  <a href="./tfds/download/ComputeStatsMode.md"><code>tfds.download.ComputeStatsMode</code></a>
 *  <a href="./tfds/download/DownloadConfig.md"><code>tfds.download.DownloadConfig</code></a>

docs/api_docs/python/tfds.md

@@ -54,8 +54,6 @@ Documentation:
 
 [`as_numpy(...)`](./tfds/as_numpy.md): Converts a `tf.data.Dataset` to an iterable of NumPy arrays.
 
-[`dataset_as_numpy(...)`](./tfds/dataset_as_numpy.md): DEPRECATED. Renamed <a href="./tfds/as_numpy.md"><code>tfds.as_numpy</code></a>.
-
 [`builder(...)`](./tfds/builder.md): Fetches a <a href="./tfds/core/DatasetBuilder.md"><code>tfds.core.DatasetBuilder</code></a> by string name.
 
 [`list_builders(...)`](./tfds/list_builders.md): Returns the string names of all <a href="./tfds/core/DatasetBuilder.md"><code>tfds.core.DatasetBuilder</code></a>s.

docs/api_docs/python/tfds/_api_cache.json

@@ -1,5 +1,5 @@
 {
-  "current_doc_full_name": "tfds.testing.DummyMnist.__dict__", 
+  "current_doc_full_name": "tfds.features.text.SubwordTextEncoder.__reduce__", 
   "duplicate_of": {
     "tfds.GenerateMode": "tfds.download.GenerateMode", 
     "tfds.GenerateMode.FORCE_REDOWNLOAD": "tfds.download.GenerateMode.FORCE_REDOWNLOAD", 
@@ -913,7 +913,6 @@
     "tfds.core.Version.patch": true, 
     "tfds.core.get_tfds_path": false, 
     "tfds.core.lazy_imports": false, 
-    "tfds.dataset_as_numpy": false, 
     "tfds.download": false, 
     "tfds.download.ComputeStatsMode": false, 
     "tfds.download.ComputeStatsMode.AUTO": true, 
@@ -1660,6 +1659,7 @@
     "tfds.testing.DatasetBuilderTestCase.DATASET_CLASS": true, 
     "tfds.testing.DatasetBuilderTestCase.DL_EXTRACT_RESULT": true, 
     "tfds.testing.DatasetBuilderTestCase.INTERNAL_DATASET": true, 
+    "tfds.testing.DatasetBuilderTestCase.MOCK_MONARCH": true, 
     "tfds.testing.DatasetBuilderTestCase.MOCK_OUT_FORBIDDEN_OS_FUNCTIONS": true, 
     "tfds.testing.DatasetBuilderTestCase.OVERLAPPING_SPLITS": true, 
     "tfds.testing.DatasetBuilderTestCase.__call__": true, 
@@ -1906,6 +1906,7 @@
     "tfds.testing.FeatureExpectationItem.__subclasshook__": true, 
     "tfds.testing.FeatureExpectationItem.__weakref__": true, 
     "tfds.testing.FeatureExpectationsTestCase": false, 
+    "tfds.testing.FeatureExpectationsTestCase.MOCK_MONARCH": true, 
     "tfds.testing.FeatureExpectationsTestCase.__call__": true, 
     "tfds.testing.FeatureExpectationsTestCase.__delattr__": true, 
     "tfds.testing.FeatureExpectationsTestCase.__dict__": true, 
@@ -2074,6 +2075,7 @@
     "tfds.testing.FeatureExpectationsTestCase.tempfile_cleanup": true, 
     "tfds.testing.FeatureExpectationsTestCase.test_session": true, 
     "tfds.testing.TestCase": false, 
+    "tfds.testing.TestCase.MOCK_MONARCH": true, 
     "tfds.testing.TestCase.__call__": true, 
     "tfds.testing.TestCase.__delattr__": true, 
     "tfds.testing.TestCase.__dict__": true, 

docs/api_docs/python/tfds/dataset_as_numpy.md

@@ -134,6 +134,7 @@
 <meta itemprop="property" content="DATASET_CLASS"/>
 <meta itemprop="property" content="DL_EXTRACT_RESULT"/>
 <meta itemprop="property" content="INTERNAL_DATASET"/>
+<meta itemprop="property" content="MOCK_MONARCH"/>
 <meta itemprop="property" content="MOCK_OUT_FORBIDDEN_OS_FUNCTIONS"/>
 <meta itemprop="property" content="OVERLAPPING_SPLITS"/>
 <meta itemprop="property" content="longMessage"/>
@@ -2488,6 +2489,8 @@ Use `self.session()` or `self.cached_session()` instead.
 
 <h3 id="INTERNAL_DATASET"><code>INTERNAL_DATASET</code></h3>
 
+<h3 id="MOCK_MONARCH"><code>MOCK_MONARCH</code></h3>
+
 <h3 id="MOCK_OUT_FORBIDDEN_OS_FUNCTIONS"><code>MOCK_OUT_FORBIDDEN_OS_FUNCTIONS</code></h3>
 
 <h3 id="OVERLAPPING_SPLITS"><code>OVERLAPPING_SPLITS</code></h3>

docs/api_docs/python/tfds/testing/DatasetBuilderTestCase.md

@@ -128,6 +128,7 @@
 <meta itemprop="property" content="tearDown"/>
 <meta itemprop="property" content="tearDownClass"/>
 <meta itemprop="property" content="test_session"/>
+<meta itemprop="property" content="MOCK_MONARCH"/>
 <meta itemprop="property" content="longMessage"/>
 <meta itemprop="property" content="maxDiff"/>
 <meta itemprop="property" content="tempfile_cleanup"/>
@@ -2424,6 +2425,8 @@ Use `self.session()` or `self.cached_session()` instead.
 
 ## Class Members
 
+<h3 id="MOCK_MONARCH"><code>MOCK_MONARCH</code></h3>
+
 <h3 id="longMessage"><code>longMessage</code></h3>
 
 <h3 id="maxDiff"><code>maxDiff</code></h3>

docs/api_docs/python/tfds/testing/FeatureExpectationsTestCase.md

@@ -126,6 +126,7 @@
 <meta itemprop="property" content="tearDown"/>
 <meta itemprop="property" content="tearDownClass"/>
 <meta itemprop="property" content="test_session"/>
+<meta itemprop="property" content="MOCK_MONARCH"/>
 <meta itemprop="property" content="longMessage"/>
 <meta itemprop="property" content="maxDiff"/>
 <meta itemprop="property" content="tempfile_cleanup"/>
@@ -2401,6 +2402,8 @@ Use `self.session()` or `self.cached_session()` instead.
 
 ## Class Members
 
+<h3 id="MOCK_MONARCH"><code>MOCK_MONARCH</code></h3>
+
 <h3 id="longMessage"><code>longMessage</code></h3>
 
 <h3 id="maxDiff"><code>maxDiff</code></h3>

docs/api_docs/python/tfds/testing/TestCase.md

@@ -327,78 +327,78 @@ WARNING: this dataset currently requires you to prepare images on your own.
 `celeb_a_hq` is configured with `tfds.image.celebahq.CelebaHQConfig` and has the following
 configurations predefined (defaults to the first one):
 
-* `"1"` (`v0.1.0`): CelebaHQ images in 1 x 1 resolution
+* `"1024"` (`v0.1.0`): CelebaHQ images in 1024 x 1024 resolution
 
-* `"2"` (`v0.1.0`): CelebaHQ images in 2 x 2 resolution
+* `"512"` (`v0.1.0`): CelebaHQ images in 512 x 512 resolution
 
-* `"4"` (`v0.1.0`): CelebaHQ images in 4 x 4 resolution
+* `"256"` (`v0.1.0`): CelebaHQ images in 256 x 256 resolution
 
-* `"8"` (`v0.1.0`): CelebaHQ images in 8 x 8 resolution
+* `"128"` (`v0.1.0`): CelebaHQ images in 128 x 128 resolution
 
-* `"16"` (`v0.1.0`): CelebaHQ images in 16 x 16 resolution
+* `"64"` (`v0.1.0`): CelebaHQ images in 64 x 64 resolution
 
 * `"32"` (`v0.1.0`): CelebaHQ images in 32 x 32 resolution
 
-* `"64"` (`v0.1.0`): CelebaHQ images in 64 x 64 resolution
+* `"16"` (`v0.1.0`): CelebaHQ images in 16 x 16 resolution
 
-* `"128"` (`v0.1.0`): CelebaHQ images in 128 x 128 resolution
+* `"8"` (`v0.1.0`): CelebaHQ images in 8 x 8 resolution
 
-* `"256"` (`v0.1.0`): CelebaHQ images in 256 x 256 resolution
+* `"4"` (`v0.1.0`): CelebaHQ images in 4 x 4 resolution
 
-* `"512"` (`v0.1.0`): CelebaHQ images in 512 x 512 resolution
+* `"2"` (`v0.1.0`): CelebaHQ images in 2 x 2 resolution
 
-* `"1024"` (`v0.1.0`): CelebaHQ images in 1024 x 1024 resolution
+* `"1"` (`v0.1.0`): CelebaHQ images in 1 x 1 resolution
 
 
-### `"celeb_a_hq/1"`
+### `"celeb_a_hq/1024"`
 
 ```
 FeaturesDict({
-    'image': Image(shape=(1, 1, 3), dtype=tf.uint8),
+    'image': Image(shape=(1024, 1024, 3), dtype=tf.uint8),
     'image/filename': Text(shape=(), dtype=tf.string, encoder=None),
 })
 ```
 
 
 
-### `"celeb_a_hq/2"`
+### `"celeb_a_hq/512"`
 
 ```
 FeaturesDict({
-    'image': Image(shape=(2, 2, 3), dtype=tf.uint8),
+    'image': Image(shape=(512, 512, 3), dtype=tf.uint8),
     'image/filename': Text(shape=(), dtype=tf.string, encoder=None),
 })
 ```
 
 
 
-### `"celeb_a_hq/4"`
+### `"celeb_a_hq/256"`
 
 ```
 FeaturesDict({
-    'image': Image(shape=(4, 4, 3), dtype=tf.uint8),
+    'image': Image(shape=(256, 256, 3), dtype=tf.uint8),
     'image/filename': Text(shape=(), dtype=tf.string, encoder=None),
 })
 ```
 
 
 
-### `"celeb_a_hq/8"`
+### `"celeb_a_hq/128"`
 
 ```
 FeaturesDict({
-    'image': Image(shape=(8, 8, 3), dtype=tf.uint8),
+    'image': Image(shape=(128, 128, 3), dtype=tf.uint8),
     'image/filename': Text(shape=(), dtype=tf.string, encoder=None),
 })
 ```
 
 
 
-### `"celeb_a_hq/16"`
+### `"celeb_a_hq/64"`
 
 ```
 FeaturesDict({
-    'image': Image(shape=(16, 16, 3), dtype=tf.uint8),
+    'image': Image(shape=(64, 64, 3), dtype=tf.uint8),
     'image/filename': Text(shape=(), dtype=tf.string, encoder=None),
 })
 ```
@@ -416,55 +416,55 @@ FeaturesDict({
 
 
 
-### `"celeb_a_hq/64"`
+### `"celeb_a_hq/16"`
 
 ```
 FeaturesDict({
-    'image': Image(shape=(64, 64, 3), dtype=tf.uint8),
+    'image': Image(shape=(16, 16, 3), dtype=tf.uint8),
     'image/filename': Text(shape=(), dtype=tf.string, encoder=None),
 })
 ```
 
 
 
-### `"celeb_a_hq/128"`
+### `"celeb_a_hq/8"`
 
 ```
 FeaturesDict({
-    'image': Image(shape=(128, 128, 3), dtype=tf.uint8),
+    'image': Image(shape=(8, 8, 3), dtype=tf.uint8),
     'image/filename': Text(shape=(), dtype=tf.string, encoder=None),
 })
 ```
 
 
 
-### `"celeb_a_hq/256"`
+### `"celeb_a_hq/4"`
 
 ```
 FeaturesDict({
-    'image': Image(shape=(256, 256, 3), dtype=tf.uint8),
+    'image': Image(shape=(4, 4, 3), dtype=tf.uint8),
     'image/filename': Text(shape=(), dtype=tf.string, encoder=None),
 })
 ```
 
 
 
-### `"celeb_a_hq/512"`
+### `"celeb_a_hq/2"`
 
 ```
 FeaturesDict({
-    'image': Image(shape=(512, 512, 3), dtype=tf.uint8),
+    'image': Image(shape=(2, 2, 3), dtype=tf.uint8),
     'image/filename': Text(shape=(), dtype=tf.string, encoder=None),
 })
 ```
 
 
 
-### `"celeb_a_hq/1024"`
+### `"celeb_a_hq/1"`
 
 ```
 FeaturesDict({
-    'image': Image(shape=(1024, 1024, 3), dtype=tf.uint8),
+    'image': Image(shape=(1, 1, 3), dtype=tf.uint8),
     'image/filename': Text(shape=(), dtype=tf.string, encoder=None),
 })
 ```