# Use Python 3.X as installed in container image
build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3"
build --python_path="/usr/local/bin/python3"

# Build TensorFlow v2
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

# Prevent double-compilation of some TF code, ref. b/183279666 (internal)
# > TF's gen_api_init_files has a genrule to run the core TensorFlow code

 * {{{./cli.html}CLI options}},

 * {{{./logging.html}logging API}}.

 * since 3.3.1 (see {{{/docs/3.3.1/release-notes.html#Core_Extensions}3.3.1 release notes}} for more details),
   per project settings can be defined by files in <<<.mvn/>>> directory:

   * <<<.mvn/jvm.config>>> containing jvm options,

   * <<<.mvn/maven.config>>> containing Maven command-line parameter,

        assertEquals(
                "'build.pluginManagement.plugins.plugin.(groupId:artifactId)' groupId of a plugin must be defined. ",
                result.getFatals().get(0));

        assertEquals(
                "'build.pluginManagement.plugins.plugin.(groupId:artifactId)' artifactId of a plugin must be defined. ",
                result.getFatals().get(1));
    }

    @Test

- The RuntimeClass API has been added. This feature is in alpha, and the RuntimeClass feature gate must be enabled in order to use it. The RuntimeClass API resource defines different classes of runtimes that may be used to run containers in the cluster. Pods can select a RuntimeClass to use via the RuntimeClassName field. ([#67737](https://github.com/kubernetes/kubernetes/pull/67737), [@tallclair](https://github.com/tallclair))...

# Define this here and not in the main mkdocs.yml file because that one is auto
# updated and written, and the script would remove the env var
INHERIT: !ENV [INSIDERS_FILE, '../en/mkdocs.no-insiders.yml']
markdown_extensions:
  pymdownx.highlight:

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_GRADIENT_CHECKER_H_
#define TENSORFLOW_C_EAGER_GRADIENT_CHECKER_H_

#include <memory>

#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/unified_api_testutil.h"

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_GRAPH_FUNCTION_H_
#define TENSORFLOW_C_EAGER_GRAPH_FUNCTION_H_

#include "tensorflow/c/eager/abstract_function.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/platform/refcount.h"
namespace tensorflow {

OpenAPI tem uma forma para definir múltiplos “esquemas” de segurança.

Por usá-los, você pode ter vantagens de todas essas ferramentas baseadas nos padrões, incluindo os sistemas de documentação interativa.

OpenAPI define os seguintes esquemas de segurança:

* `apiKey`: uma chave específica de aplicação que pode vir de:
    * Um parâmetro query.

# Request Files

You can define files to be uploaded by the client using `File`.

/// info

To receive uploaded files, first install <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

Make sure you create a [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then install it, for example:

```console
$ pip install python-multipart
```

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_ABSTRACT_FUNCTION_H_
#define TENSORFLOW_C_EAGER_ABSTRACT_FUNCTION_H_

#include "absl/status/statusor.h"
#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/platform/intrusive_ptr.h"
#include "tensorflow/core/platform/refcount.h"