## Major Features and Improvements

*   `tf.lite`:

    *   New operations supported:
          * tf.unsortedsegmentmin op is supported.
          * tf.atan2 op is supported.
          * tf.sign op is supported.
    *   Updates to existing operations:
          * tfl.mul now supports complex32 inputs.

*   `tf.experimental.StructuredTensor`

		if testCase.metadataGarbage {
			reqV2.Header.Set("X-Amz-Metadata-Directive", "Unknown")
		}

		err = signRequestV2(reqV2, testCase.accessKey, testCase.secretKey)
		if err != nil {
			t.Fatalf("Failed to V2 Sign the HTTP request: %v.", err)
		}
		// Since `apiRouter` satisfies `http.Handler` it has a ServeHTTP to execute the logic of the handler.
		// Call the ServeHTTP to execute the handler.
		apiRouter.ServeHTTP(recV2, reqV2)

solutions will be better for different programs; see section 13 for the
specific requirements.

  You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU AGPL, see
<https://www.gnu.org/licenses/>.

### Migration

Check out the [Pydantic migration guide](https://docs.pydantic.dev/2.0/migration/).