chore: import upstream snapshot with attribution

tools/tensorflow-quantization/docs/source/cqdq.rst

@@ -0,0 +1,26 @@
+.. _cqdq_api:
+
+**tensorflow_quantization.CustomQDQInsertionCase**
+==================================================
+
+.. autoclass:: tensorflow_quantization.CustomQDQInsertionCase
+   :members:
+
+Example
+
+.. code:: python
+
+   class EfficientNetQDQCase(CustomQDQInsertionCase):
+    def __init__(self) -> None:
+        super().__init__()
+
+    def info(self):
+        return "In Multiply operation quantize inputs at index 0 and 1."
+
+    def case(self, keras_model: 'tf.keras.Model', qspec: 'QuantizationSpec') -> 'QuantizationSpec':
+        se_block_qspec_object = QuantizationSpec()
+        for layer in keras_model.layers:
+            if isinstance(layer, tf.keras.layers.Multiply):
+                se_block_qspec_object.add(layer.name, quantize_input=True, quantize_weight=False, quantization_index=[0, 1])
+        return se_block_qspec_object
+