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# Motivation Add `torch.xpu.get_arch_list()` and `torch.xpu.get_gencode_flags()` methods that return architecture list and AOT flags to preserve what flags PyTorch XPU was built with. Pull Request resolved: https://github.com/pytorch/pytorch/pull/137773 Approved by: https://github.com/EikanWang, https://github.com/albanD
77 lines
1.3 KiB
ReStructuredText
77 lines
1.3 KiB
ReStructuredText
torch.xpu
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===================================
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.. automodule:: torch.xpu
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.. currentmodule:: torch.xpu
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.. autosummary::
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:toctree: generated
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:nosignatures:
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StreamContext
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current_device
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current_stream
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device
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device_count
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device_of
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get_arch_list
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get_device_capability
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get_device_name
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get_device_properties
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get_gencode_flags
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init
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is_available
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is_initialized
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set_device
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set_stream
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stream
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synchronize
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Random Number Generator
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-------------------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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get_rng_state
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get_rng_state_all
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initial_seed
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manual_seed
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manual_seed_all
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seed
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seed_all
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set_rng_state
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set_rng_state_all
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Streams and events
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------------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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Event
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Stream
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Memory management
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-----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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empty_cache
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max_memory_allocated
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max_memory_reserved
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memory_allocated
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memory_reserved
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memory_stats
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memory_stats_as_nested_dict
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reset_accumulated_memory_stats
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reset_peak_memory_stats
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.. This module needs to be documented. Adding here in the meantime
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.. for tracking purposes
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.. py:module:: torch.xpu.memory
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.. py:module:: torch.xpu.random
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.. py:module:: torch.xpu.streams
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