common:rbe_linux_cuda --config=cuda_clang_official
common:rbe_linux_cuda --config=rbe_linux_cpu
# For Remote build execution -- GPU configuration
common:rbe_linux_cuda --repo_env=REMOTE_GPU_TESTING=1
# Update UMD version when RBE CUDA driver is updated.
common:rbe_linux_cuda --repo_env=HERMETIC_CUDA_UMD_VERSION="13.0.2"

common:rbe_linux_cuda_nvcc --config=rbe_linux_cuda
common:rbe_linux_cuda_nvcc --config=cuda_nvcc

`tensorflow` pip package has a new, optional installation method for Linux that installs necessary Nvidia CUDA libraries through pip. As long as the Nvidia driver is already installed on the system, you may now run `pip install tensorflow[and-cuda]` to install TensorFlow's Nvidia CUDA library dependencies in the Python environment. Aside from the Nvidia driver, no other pre-existing Nvidia CUDA packages are necessary.

*   Enable JIT-compiled i64-indexed kernels on GPU for large tensors with more...

     *
     * @param writer the print writer to write the event to
     * @param event the event name
     * @param data the event data to serialize as JSON
     */
    protected void sendSseEvent(final PrintWriter writer, final String event, final Map<String, Object> data) {
        try {
            writer.write("event: " + event + "\n");

import org.eclipse.aether.util.graph.visitor.DependencyGraphDumper;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import static java.util.Objects.requireNonNull;

/**
 * Type deriver, that handles special case of "processor" type: if a dependency node is of this type, all of its
 * children need to be remapped to certain processor type as well, to end up on proper path type.
 *
 * @since 4.0.0

/// tip

This is the ultimate **vibe-driven development** experience. You don't need to think about what your API does, just let the LLM handle it. 🧘

///

## Try It { #try-it }

Go ahead, try it:

{* ../../docs_src/vibe/tutorial001_py310.py *}

	Read(p []byte) (n int, err error)
	Close() error
}

type Writer interface {
	Write(p []byte) (n int, err error)
	Close() error
}

// ReadWriter's methods are Read, Write, and Close.
type ReadWriter interface {
	Reader  // includes methods of Reader in ReadWriter's method set
	Writer  // includes methods of Writer in ReadWriter's method set
}
</pre>

<p>

      while ((e = recencyQueue.poll()) != null) {
        // An entry may be in the recency queue despite it being removed from
        // the map . This can occur when the entry was concurrently read while a
        // writer is removing it from the segment or after a clear has removed
        // all the segment's entries.
        if (accessQueue.contains(e)) {
          accessQueue.add(e);
        }
      }
    }

* ✏ Rewording in `docs/en/docs/tutorial/debugging.md`. PR [#9581](https://github.com/tiangolo/fastapi/pull/9581) by [@ivan-abc](https://github.com/ivan-abc).
* 📝 Add german blog post (Domain-driven Design mit Python und FastAPI). PR [#9261](https://github.com/tiangolo/fastapi/pull/9261) by [@msander](https://github.com/msander).