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2.0 API: device_guard #3140

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Jan 21, 2021
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2.0 API: device_guard #3140

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1 change: 1 addition & 0 deletions doc/paddle/api/alias_api_mapping
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Expand Up @@ -88,6 +88,7 @@ paddle.device.set_device paddle.set_device
paddle.device.get_cudnn_version paddle.get_cudnn_version
paddle.device.XPUPlace paddle.XPUPlace
paddle.device.is_compiled_with_xpu paddle.is_compiled_with_xpu
paddle.fluid.framework.device_guard paddle.static.device_guard
paddle.fluid.framework.is_compiled_with_cuda paddle.is_compiled_with_cuda,paddle.device.is_compiled_with_cuda
paddle.fluid.layers.log_loss paddle.nn.functional.log_loss,paddle.nn.functional.loss.log_loss
paddle.fluid.layers.softmax_with_cross_entropy paddle.nn.functional.softmax_with_cross_entropy,paddle.nn.functional.loss.softmax_with_cross_entropy
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41 changes: 41 additions & 0 deletions doc/paddle/api/paddle/fluid/framework/device_guard_cn.rst
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.. _cn_api_device_guard:

device_guard
-------------------------------

**注意：该API仅支持静态图模式**

.. py:function:: paddle.static.device_guard(device=None)
一个用于指定OP运行设备的上下文管理器。

参数：
- **device** (str|None) – 指定上下文中使用的设备。它可以是'cpu'或者'gpu‘，当它被设置为'cpu'或者'gpu'时，创建在该上下文中的OP将被运行在CPUPlace或者CUDAPlace上。若设置为'gpu'，同时程序运行在单卡模式下，设备的索引将与执行器的设备索引保持一致。默认值：None，在该上下文中的OP将被自动地分配设备。

**代码示例**

.. code-block:: python
import paddle
paddle.enable_static()
support_gpu = paddle.is_compiled_with_cuda()
place = paddle.CPUPlace()
if support_gpu:
place = paddle.CUDAPlace(0)
# if GPU is supported, the three OPs below will be automatically assigned to CUDAPlace(0)
data1 = paddle.full(shape=[1, 3, 8, 8], fill_value=0.5, dtype='float32')
data2 = paddle.full(shape=[1, 3, 64], fill_value=0.5, dtype='float32')
shape = paddle.shape(data2)
with paddle.static.device_guard("cpu"):
# Ops created here will be placed on CPUPlace
shape = paddle.slice(shape, axes=[0], starts=[0], ends=[4])
with paddle.static.device_guard('gpu'):
# if GPU is supported, OPs created here will be placed on CUDAPlace(0), otherwise on CPUPlace
out = paddle.reshape(data1, shape=shape)
exe = paddle.static.Executor(place)
exe.run(paddle.static.default_startup_program())
result = exe.run(fetch_list=[out])