2024-02-05 13:58:25

totrans/doc22_076.yaml

 - en: torch.random
+  id: totrans-0
   prefs:
   - PREF_H1
   type: TYPE_NORMAL
+  zh: torch.random
 - en: 原文：[https://pytorch.org/docs/stable/random.html](https://pytorch.org/docs/stable/random.html)
+  id: totrans-1
   prefs:
   - PREF_BQ
   type: TYPE_NORMAL
+  zh: 原文：[https://pytorch.org/docs/stable/random.html](https://pytorch.org/docs/stable/random.html)
 - en: '[PRE0]'
+  id: totrans-2
   prefs: []
   type: TYPE_PRE
+  zh: '[PRE0]'
 - en: Forks the RNG, so that when you return, the RNG is reset to the state that it
     was previously in.
+  id: totrans-3
   prefs: []
   type: TYPE_NORMAL
+  zh: 分叉RNG，以便在返回时，RNG被重置为先前的状态。
 - en: Parameters
+  id: totrans-4
   prefs: []
   type: TYPE_NORMAL
+  zh: 参数
 - en: '**devices** (*iterable* *of* *Device IDs*) – devices for which to fork the
     RNG. CPU RNG state is always forked. By default, [`fork_rng()`](#torch.random.fork_rng
     "torch.random.fork_rng") operates on all devices, but will emit a warning if your
     machine has a lot of devices, since this function will run very slowly in that
     case. If you explicitly specify devices, this warning will be suppressed'
+  id: totrans-5
   prefs:
   - PREF_UL
   type: TYPE_NORMAL
+  zh: '**devices** (*可迭代的* *设备ID*) – 要分叉RNG的设备。CPU RNG状态始终被分叉。默认情况下，[`fork_rng()`](#torch.random.fork_rng
+    "torch.random.fork_rng")在所有设备上操作，但如果您的机器有很多设备，此函数将运行非常缓慢，将发出警告。如果您明确指定设备，则此警告将被抑制'
 - en: '**enabled** ([*bool*](https://docs.python.org/3/library/functions.html#bool
     "(in Python v3.12)")) – if `False`, the RNG is not forked. This is a convenience
     argument for easily disabling the context manager without having to delete it
     and unindent your Python code under it.'
+  id: totrans-6
   prefs:
   - PREF_UL
   type: TYPE_NORMAL
+  zh: '**enabled** ([*bool*](https://docs.python.org/3/library/functions.html#bool
+    "(在Python v3.12中)")) – 如果为`False`，则不分叉RNG。这是一个方便的参数，可以轻松禁用上下文管理器，而无需删除它并将Python代码缩进在其下面。'
 - en: '**deivce_type** ([*str*](https://docs.python.org/3/library/stdtypes.html#str
     "(in Python v3.12)")) – device type str, default is cuda. As for custom device,
     see details in [Note: support the custom device with privateuse1]'
+  id: totrans-7
   prefs:
   - PREF_UL
   type: TYPE_NORMAL
+  zh: '**deivce_type** ([*str*](https://docs.python.org/3/library/stdtypes.html#str
+    "(在Python v3.12中)")) – 设备类型str，默认为cuda。至于自定义设备，请参阅[注：支持带有privateuse1的自定义设备]'
 - en: Return type
+  id: totrans-8
   prefs: []
   type: TYPE_NORMAL
+  zh: 返回类型
 - en: '[*Generator*](https://docs.python.org/3/library/typing.html#typing.Generator
     "(in Python v3.12)")'
+  id: totrans-9
   prefs: []
   type: TYPE_NORMAL
+  zh: '[*生成器*](https://docs.python.org/3/library/typing.html#typing.Generator "(在Python
+    v3.12中)")'
 - en: '[PRE1]'
+  id: totrans-10
   prefs: []
   type: TYPE_PRE
+  zh: '[PRE1]'
 - en: Returns the random number generator state as a torch.ByteTensor.
+  id: totrans-11
   prefs: []
   type: TYPE_NORMAL
+  zh: 将随机数生成器状态返回为torch.ByteTensor。
 - en: Return type
+  id: totrans-12
   prefs: []
   type: TYPE_NORMAL
+  zh: 返回类型
 - en: '[*Tensor*](tensors.html#torch.Tensor "torch.Tensor")'
+  id: totrans-13
   prefs: []
   type: TYPE_NORMAL
+  zh: '[*张量*](tensors.html#torch.Tensor "torch.Tensor")'
 - en: '[PRE2]'
+  id: totrans-14
   prefs: []
   type: TYPE_PRE
+  zh: '[PRE2]'
 - en: Returns the initial seed for generating random numbers as a Python long.
+  id: totrans-15
   prefs: []
   type: TYPE_NORMAL
+  zh: 返回生成随机数的初始种子作为Python长整型。
 - en: Return type
+  id: totrans-16
   prefs: []
   type: TYPE_NORMAL
+  zh: 返回类型
 - en: '[int](https://docs.python.org/3/library/functions.html#int "(in Python v3.12)")'
+  id: totrans-17
   prefs: []
   type: TYPE_NORMAL
+  zh: '[int](https://docs.python.org/3/library/functions.html#int "(在Python v3.12中)")'
 - en: '[PRE3]'
+  id: totrans-18
   prefs: []
   type: TYPE_PRE
+  zh: '[PRE3]'
 - en: Sets the seed for generating random numbers. Returns a torch.Generator object.
+  id: totrans-19
   prefs: []
   type: TYPE_NORMAL
+  zh: 设置生成随机数的种子。返回一个torch.Generator对象。
 - en: Parameters
+  id: totrans-20
   prefs: []
   type: TYPE_NORMAL
+  zh: 参数
 - en: '**seed** ([*int*](https://docs.python.org/3/library/functions.html#int "(in
     Python v3.12)")) – The desired seed. Value must be within the inclusive range
     [-0x8000_0000_0000_0000, 0xffff_ffff_ffff_ffff]. Otherwise, a RuntimeError is
     raised. Negative inputs are remapped to positive values with the formula 0xffff_ffff_ffff_ffff
     + seed.'
+  id: totrans-21
   prefs: []
   type: TYPE_NORMAL
+  zh: '**seed** ([*int*](https://docs.python.org/3/library/functions.html#int "(在Python
+    v3.12中)")) – 所需种子。值必须在包含范围[-0x8000_0000_0000_0000, 0xffff_ffff_ffff_ffff]内。否则，将引发RuntimeError。负输入将使用公式0xffff_ffff_ffff_ffff
+    + seed重新映射为正值。'
 - en: Return type
+  id: totrans-22
   prefs: []
   type: TYPE_NORMAL
+  zh: 返回类型
 - en: '[*Generator*](generated/torch.Generator.html#torch.Generator "torch._C.Generator")'
+  id: totrans-23
   prefs: []
   type: TYPE_NORMAL
+  zh: '[*生成器*](generated/torch.Generator.html#torch.Generator "torch._C.Generator")'
 - en: '[PRE4]'
+  id: totrans-24
   prefs: []
   type: TYPE_PRE
+  zh: '[PRE4]'
 - en: Sets the seed for generating random numbers to a non-deterministic random number.
     Returns a 64 bit number used to seed the RNG.
+  id: totrans-25
   prefs: []
   type: TYPE_NORMAL
+  zh: 将生成随机数的种子设置为非确定性随机数。返回用于种子RNG的64位数字。
 - en: Return type
+  id: totrans-26
   prefs: []
   type: TYPE_NORMAL
+  zh: 返回类型
 - en: '[int](https://docs.python.org/3/library/functions.html#int "(in Python v3.12)")'
+  id: totrans-27
   prefs: []
   type: TYPE_NORMAL
+  zh: '[int](https://docs.python.org/3/library/functions.html#int "(在Python v3.12中)")'
 - en: '[PRE5]'
+  id: totrans-28
   prefs: []
   type: TYPE_PRE
+  zh: '[PRE5]'
 - en: Sets the random number generator state.
+  id: totrans-29
   prefs: []
   type: TYPE_NORMAL
+  zh: 设置随机数生成器状态。
 - en: Parameters
+  id: totrans-30
   prefs: []
   type: TYPE_NORMAL
+  zh: 参数
 - en: '**new_state** (*torch.ByteTensor*) – The desired state'
+  id: totrans-31
   prefs: []
   type: TYPE_NORMAL
+  zh: '**new_state** (*torch.ByteTensor*) – 所需状态'