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Latest development documentation · Updated 2026-10-15

tensorplay.cuda.profiler API

Functions 3

#

profile

functionFull reference ↗
tensorplay.cuda.profiler.profile()[source]

Enable profiling.

Context Manager to enabling profile collection by the active profiling tool from CUDA backend. .. rubric:: Example

>>> import tensorplay as tp
>>> model = tp.nn.Linear(20, 30).cuda()
>>> inputs = tp.randn(128, 20).cuda()
>>> with tp.cuda.profiler.profile():
...     model(inputs)
#

start

functionFull reference ↗
tensorplay.cuda.profiler.start()[source]

Starts cuda profiler data collection.

Warning

Raises CudaError in case of it is unable to start the profiler.

#

stop

functionFull reference ↗
tensorplay.cuda.profiler.stop()[source]

Stops cuda profiler data collection.

Warning

Raises CudaError in case of it is unable to stop the profiler.

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