`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...

that can be found in the LICENSE file. // Package alias implements memory aliasing tests. // This code also exists as golang.org/x/crypto/internal/alias. package alias import "unsafe" // AnyOverlap reports whether x and y share memory at any (not necessarily // corresponding) index. The memory beyond the slice length is ignored. func AnyOverlap(x, y []byte) bool { return len(x) > 0 && len(y) > 0 && uintptr(unsafe.Pointer(&x[0])) <= uintptr(unsafe.Pointer(&y[len(y)-1])) && uintptr(unsafe.Pointer(&y[0]))...

```yaml
securityContext:
  seccompProfile:
    type: RuntimeDefault|Localhost|Unconfined # choose one of the three
    localhostProfile: my-profiles/profile-allow.json # only necessary if type == Localhost
```

Nevertheless, as this would mean waiting for the response to travel through the network while unnecessarily holding a resource in a dependency with yield (for example a database connection), this was changed in FastAPI 0.106.0.