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# torch.cuda.caching_allocator_alloc

torch.cuda.caching_allocator_alloc(size, device=None, stream=None)

  Performs a memory allocation using the CUDA memory allocator.

  Memory is allocated for a given device and a stream, this function is intended to be used for interoperability with other frameworks. Allocated memory is released through `caching_allocator_delete()`.

  Parameters:

    - size (int) – number of bytes to be allocated.

    - device (torch.device or int, optional) – selected device. If it is `None` the default CUDA device is used.

    - stream (torch.cuda.Stream or int, optional) – selected stream. If is `None` then the default stream for the selected device is used.

  Note

  See Memory management for more details about GPU memory management.

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