diff --git a/site/en-snapshot/README.md b/site/en-snapshot/README.md
index f9f8769f4b..bdcb8ac57a 100644
--- a/site/en-snapshot/README.md
+++ b/site/en-snapshot/README.md
@@ -6,7 +6,7 @@ the projects listed below.
Please submit translations from the GitLocalize project: https://gitlocalize.com/tensorflow/docs-l10n
-Updated: Tue Aug 1 07:00:50 UTC 2023
+Updated: Wed Aug 2 07:00:51 UTC 2023
Projects and last commit:
@@ -14,22 +14,22 @@ Projects and last commit:
- [agents](https://github.com/tensorflow/agents/tree/master/docs) @ da4be6a5
- [datasets](https://github.com/tensorflow/datasets/tree/master/docs) @ 6040ad2c
- [docs](https://github.com/tensorflow/docs/tree/master/site/en) @ e753dbc7
-- [federated](https://github.com/tensorflow/federated/tree/main/docs) @ d1ad01b6
+- [federated](https://github.com/tensorflow/federated/tree/main/docs) @ 3608caf0
- [graphics](https://github.com/tensorflow/graphics/tree/master/tensorflow_graphics/g3doc) @ c73181a4
-- [hub](https://github.com/tensorflow/hub/tree/master/docs) @ af6fe1c3
-- [hub_tutorials](https://github.com/tensorflow/hub/tree/master/examples/colab) @ af6fe1c3
-- [io](https://github.com/tensorflow/io/tree/master/docs) @ d8780d6c
-- [js](https://github.com/tensorflow/tfjs-website/tree/master/docs) @ 878e6fca
+- [hub](https://github.com/tensorflow/hub/tree/master/docs) @ 003869ea
+- [hub_tutorials](https://github.com/tensorflow/hub/tree/master/examples/colab) @ 003869ea
+- [io](https://github.com/tensorflow/io/tree/master/docs) @ 076852ee
+- [js](https://github.com/tensorflow/tfjs-website/tree/master/docs) @ 6f493124
- [keras_guides](https://github.com/tensorflow/docs/tree/snapshot-keras/site/en/guide/keras) @ 1553ae1e
- [lattice](https://github.com/tensorflow/lattice/tree/master/docs) @ 7ea1727d
-- [lite](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/g3doc) @ 112491d0
-- [mlir](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/compiler/mlir/g3doc) @ 112491d0
-- [model_optimization](https://github.com/tensorflow/model-optimization/tree/master/tensorflow_model_optimization/g3doc) @ 82b5609e
+- [lite](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/g3doc) @ 8b3fa0bb
+- [mlir](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/compiler/mlir/g3doc) @ 8b3fa0bb
+- [model_optimization](https://github.com/tensorflow/model-optimization/tree/master/tensorflow_model_optimization/g3doc) @ 4733c85f
- [neural_structured_learning](https://github.com/tensorflow/neural-structured-learning/tree/master/g3doc) @ aaa9d3e4
-- [probability](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/g3doc) @ 4e165c68
-- [probability_examples](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/jupyter_notebooks) @ 4e165c68
+- [probability](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/g3doc) @ bb94b967
+- [probability_examples](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/jupyter_notebooks) @ bb94b967
- [quantum](https://github.com/tensorflow/quantum/tree/master/docs) @ f56257bc
-- [tensorboard](https://github.com/tensorflow/tensorboard/tree/master/docs) @ 6227be9d
-- [tfx](https://github.com/tensorflow/tfx/tree/master/docs) @ e2d81eef
-- [xla](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/compiler/xla/g3doc) @ 112491d0
+- [tensorboard](https://github.com/tensorflow/tensorboard/tree/master/docs) @ 00363720
+- [tfx](https://github.com/tensorflow/tfx/tree/master/docs) @ 8f86fd12
+- [xla](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/compiler/xla/g3doc) @ 8b3fa0bb
diff --git a/site/en-snapshot/lite/guide/inference.md b/site/en-snapshot/lite/guide/inference.md
index 2ea6ec2671..16ede2fd71 100644
--- a/site/en-snapshot/lite/guide/inference.md
+++ b/site/en-snapshot/lite/guide/inference.md
@@ -574,22 +574,21 @@ print(output_data)
As an alternative to loading the model as a pre-converted `.tflite` file, you
can combine your code with the
[TensorFlow Lite Converter Python API](https://www.tensorflow.org/lite/api_docs/python/tf/lite/TFLiteConverter)
-(`tf.lite.TFLiteConverter`), allowing you to convert your TensorFlow model into
-the TensorFlow Lite format and then run inference:
+(`tf.lite.TFLiteConverter`), allowing you to convert your Keras model into the
+TensorFlow Lite format and then run inference:
```python
import numpy as np
import tensorflow as tf
-img = tf.placeholder(name="img", dtype=tf.float32, shape=(1, 64, 64, 3))
+img = tf.keras.Input(shape=(64, 64, 3), name="img")
const = tf.constant([1., 2., 3.]) + tf.constant([1., 4., 4.])
val = img + const
out = tf.identity(val, name="out")
# Convert to TF Lite format
-with tf.Session() as sess:
- converter = tf.lite.TFLiteConverter.from_session(sess, [img], [out])
- tflite_model = converter.convert()
+converter = tf.lite.TFLiteConverter.from_keras_model(tf.keras.models.Model(inputs=[img], outputs=[out]))
+tflite_model = converter.convert()
# Load the TFLite model and allocate tensors.
interpreter = tf.lite.Interpreter(model_content=tflite_model)
diff --git a/site/en-snapshot/mlir/_includes/tf_passes.md b/site/en-snapshot/mlir/_includes/tf_passes.md
index 2e4b41d814..c7140404bd 100644
--- a/site/en-snapshot/mlir/_includes/tf_passes.md
+++ b/site/en-snapshot/mlir/_includes/tf_passes.md
@@ -1044,10 +1044,6 @@ _Layout assignment pass._
```
-force-data-format : Force data format for all layout sensitive ops.
```
-### `-tf-legalize-hlo`
-
-_Legalize from HLO to the TF dialect_
-
### `-tf-localize-var-handles`
_Creates VarHandleOps next to the operations that use them._