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torch.xpu
===================================
.. automodule:: torch.xpu
.. currentmodule:: torch.xpu
.. autosummary::
:toctree: generated
:nosignatures:
StreamContext
current_device
current_stream
device
device_count
device_of
get_arch_list
get_device_capability
get_device_name
get_device_properties
get_gencode_flags
init
is_available
is_initialized
set_device
set_stream
stream
synchronize
Random Number Generator
-------------------------
.. autosummary::
:toctree: generated
:nosignatures:
get_rng_state
get_rng_state_all
initial_seed
manual_seed
manual_seed_all
seed
seed_all
set_rng_state
set_rng_state_all
Streams and events
------------------
.. autosummary::
:toctree: generated
:nosignatures:
Event
Stream
Memory management
-----------------
.. autosummary::
:toctree: generated
:nosignatures:
empty_cache
max_memory_allocated
max_memory_reserved
mem_get_info
memory_allocated
memory_reserved
memory_stats
memory_stats_as_nested_dict
reset_accumulated_memory_stats
reset_peak_memory_stats
.. This module needs to be documented. Adding here in the meantime
.. for tracking purposes
.. py:module:: torch.xpu.memory
.. py:module:: torch.xpu.random
.. py:module:: torch.xpu.streams
|
