*   Keras:

    *   `tf.keras.layers.Conv` now includes a public `convolution_op` method.
        This method can be used to simplify the implementation of Conv
        subclasses. There are two primary ways to use this new method. The first
        is to use the method directly in your own `call` method: `python class
        StandardizedConv2D(tf.keras.layers.Conv2D): def call(self, inputs):

                              should be case-insensitive.
                            type: boolean
                          method:
                            description: 'HTTP Method values are case-sensitive and
                              formatted as follows: - `exact: "value"` for exact string

                              should be case-insensitive.
                            type: boolean
                          method:
                            description: 'HTTP Method values are case-sensitive and
                              formatted as follows: - `exact: "value"` for exact string

Class <org.gradle.model.internal.method.WeaklyTypeReferencingMethod$1> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (WeaklyTypeReferencingMethod.java:0)
Class <org.gradle.model.internal.method.WeaklyTypeReferencingMethod$2> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (WeaklyTypeReferencingMethod.java:0)

    data[1] = [[41, 42], [11, 12]]
    data[2] = [[[51, 52], [21, 22]], [[1, 2], [31, 32]]]
    merged = [[1, 2], [11, 12], [21, 22], [31, 32], [41, 42],
              [51, 52], [61, 62]]
```

This method can be used to merge partitions created by `dynamic_partition`
as illustrated on the following example:

```python
    # Apply function (increments x_i) on elements for which a certain condition