torch.xpu

This package introduces support for the XPU backend, specifically tailored for Intel GPU optimization.

This package is lazily initialized, so you can always import it, and use is_available() to determine if your system supports XPU.

StreamContext	Context-manager that selects a given stream.
current_device	Return the index of a currently selected device.
current_stream	Return the currently selected Stream for a given device.
device	Context-manager that changes the selected device.
device_count	Return the number of XPU device available.
device_of	Context-manager that changes the current device to that of given object.
get_arch_list	Return list XPU architectures this library was compiled for.
get_device_capability	Get the xpu capability of a device.
get_device_name	Get the name of a device.
get_device_properties	Get the properties of a device.
get_gencode_flags	Return XPU AOT(ahead-of-time) build flags this library was compiled with.
init	Initialize PyTorch's XPU state.
is_available	Return a bool indicating if XPU is currently available.
is_initialized	Return whether PyTorch's XPU state has been initialized.
set_device	Set the current device.
set_stream	Set the current stream.This is a wrapper API to set the stream.
stream	Wrap around the Context-manager StreamContext that selects a given stream.
synchronize	Wait for all kernels in all streams on a XPU device to complete.

Random Number Generator

get_rng_state	Return the random number generator state of the specified GPU as a ByteTensor.
get_rng_state_all	Return a list of ByteTensor representing the random number states of all devices.
initial_seed	Return the current random seed of the current GPU.
manual_seed	Set the seed for generating random numbers for the current GPU.
manual_seed_all	Set the seed for generating random numbers on all GPUs.
seed	Set the seed for generating random numbers to a random number for the current GPU.
seed_all	Set the seed for generating random numbers to a random number on all GPUs.
set_rng_state	Set the random number generator state of the specified GPU.
set_rng_state_all	Set the random number generator state of all devices.

Streams and events

Event	Wrapper around a XPU event.
Stream	Wrapper around a XPU stream.

Memory management

empty_cache	Release all unoccupied cached memory currently held by the caching allocator so that those can be used in other XPU application.
max_memory_allocated	Return the maximum GPU memory occupied by tensors in bytes for a given device.
max_memory_reserved	Return the maximum GPU memory managed by the caching allocator in bytes for a given device.
memory_allocated	Return the current GPU memory occupied by tensors in bytes for a given device.
memory_reserved	Return the current GPU memory managed by the caching allocator in bytes for a given device.
memory_stats	Return a dictionary of XPU memory allocator statistics for a given device.
memory_stats_as_nested_dict	Return the result of memory_stats() as a nested dictionary.
reset_accumulated_memory_stats	Reset the "accumulated" (historical) stats tracked by the XPU memory allocator.
reset_peak_memory_stats	Reset the "peak" stats tracked by the XPU memory allocator.