<jdk>1.4</jdk>
      </activation>

      <repositories>
        <repository>
          <id>jdk14</id>
          <name>Repository for JDK 1.4 builds</name>
          <url>http://www.myhost.com/maven/jdk14</url>
          <layout>default</layout>
          <snapshotPolicy>always</snapshotPolicy>
        </repository>
      </repositories>
    </profile>
    -->

    <!--

  EXPECT_TF_META("v", -1, TF_ATTR_TENSOR, -1);
  TF_Tensor* t_out = nullptr;
  TF_OperationGetAttrTensor(oper, "v", &t_out, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  EXPECT_EQ(TF_STRING, TF_TensorType(t_out));
  EXPECT_EQ(0, TF_NumDims(t_out));
  ASSERT_EQ(TF_TensorByteSize(t_in.get()), TF_TensorByteSize(t_out));
  TF_TString* t_in_tstr = static_cast<TF_TString*>(TF_TensorData(t_in.get()));

        // when
        try {
            cli.cli(cliRequest);
        } catch (MavenCli.ExitException exitException) {
            // expected
        } finally {
            // restore sysout
            System.setOut(oldOut);
        }
        String versionOut = new String(systemOut.toByteArray(), StandardCharsets.UTF_8);

        // then
        assertEquals(stripAnsiCodes(versionOut), versionOut);

rn e+(1===e?"d":e%10==2?"na":"mh")},week:{dow:1,doy:4}}),M.defineLocale("gl",{months:"xaneiro_febreiro_marzo_abril_maio_xu\xf1o_xullo_agosto_setembro_outubro_novembro_decembro".split("_"),monthsShort:"xan._feb._mar._abr._mai._xu\xf1._xul._ago._set._out._nov._dec.".split("_"),monthsParseExact:!0,weekdays:"domingo_luns_martes_m\xe9rcores_xoves_venres_s\xe1bado".split("_"),weekdaysShort:"dom._lun._mar._m\xe9r._xov._ven._s\xe1b.".split("_"),weekdaysMin:"do_lu_ma_m\xe9_xo_ve_s\xe1".split("_"),weekday...

### Bug Fixes and Other Changes

* `tf.py_function` and `tf.numpy_function` can now be used as function decorators for clearer code:
   ```
   @tf.py_function(Tout=tf.float32)
   def my_fun(x):
     print("This always executes eagerly.")
     return x+1
   ```

* `tf.lite`
    * Strided_Slice now supports `UINT32`.

* `tf.config.experimental.enable_tensor_float_32_execution`