Rename tfio.IOLayer to tfio.experimental.IOLayer (#660)

As IOLayer was only recetnly introduced, it makes sense
to first place it under tfio.experimental.

Signed-off-by: Yong Tang <[email protected]>

Author: yongtang

tensorflow_io/core/python/api/experimental/__init__.py

@@ -14,8 +14,9 @@
 # ==============================================================================
 """tensorflow_io.experimental"""
 
-from tensorflow_io.core.python.experimental.io_tensor import IOTensor
 from tensorflow_io.core.python.experimental.io_dataset_ops import IODataset
+from tensorflow_io.core.python.experimental.io_tensor import IOTensor
+from tensorflow_io.core.python.experimental.io_layer import IOLayer
 
 from tensorflow_io.core.python.api.experimental import ffmpeg
 from tensorflow_io.core.python.api.experimental import image

tensorflow_io/core/python/api/v0/__init__.py

@@ -17,7 +17,6 @@
 # tensorflow_io.core.python.ops is implicitly imported (along with file system)
 from tensorflow_io.core.python.ops.io_dataset import IODataset
 from tensorflow_io.core.python.ops.io_tensor import IOTensor
-from tensorflow_io.core.python.ops.io_layer import IOLayer
 
 from tensorflow_io.core.python.api.v0 import genome
 from tensorflow_io.core.python.api.v0 import image

tensorflow_io/core/python/ops/io_layer.py renamed to tensorflow_io/core/python/experimental/io_layer.py

@@ -18,8 +18,8 @@
 from __future__ import print_function
 
 import tensorflow as tf
-from tensorflow_io.core.python.ops import text_io_layer_ops
-from tensorflow_io.core.python.ops import kafka_io_layer_ops
+from tensorflow_io.core.python.experimental import text_io_layer_ops
+from tensorflow_io.core.python.experimental import kafka_io_layer_ops
 
 class IOLayer(tf.keras.layers.Layer):
   """IOLayer

tensorflow_io/core/python/ops/kafka_io_layer_ops.py renamed to tensorflow_io/core/python/experimental/kafka_io_layer_ops.py

@@ -78,7 +78,7 @@ def func(self):
     f, filename = tempfile.mkstemp()
     os.close(f)
     self._filename = filename
-    return tfio.IOLayer.text(filename)
+    return tfio.experimental.IOLayer.text(filename)
   def check(self, images, predictions):
     f = tf.data.TextLineDataset(self._filename)
     lines = [line for line in f]
@@ -91,7 +91,7 @@ class KafkaIOLayerHelper(object):
   def func(self):
     channel = "e{}e".format(time.time())
     self._topic = "io-layer-test-"+channel
-    return tfio.IOLayer.kafka(self._topic)
+    return tfio.experimental.IOLayer.kafka(self._topic)
   def check(self, images, predictions):
     f = kafka_io.KafkaDataset(topics=[self._topic], group="test", eof=True)
     lines = [line for line in f]