pytorch/docs/source
Michael Carilli 929f1d5317 [RELAND] Adds torch.cuda.is_current_stream_capturing (#77789)
Resubmit of https://github.com/pytorch/pytorch/pull/77673, which was reverted due to Windows test failures: https://github.com/pytorch/pytorch/pull/77673#issuecomment-1130425845.

I suspect these failures happened because I don't explicitly set a side stream for graph capture in the new test.
Not setting a side stream explicitly is alright on Linux because cuda tests implicitly use a side stream.
I think Windows cuda tests implicitly use the default stream, breaking capture and leaving the backend in a bad state.
Other graphs tests explicitly set side streams and don't error in Windows builds, so i'm 95% sure doing the same for the new test will work.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/77789
Approved by: https://github.com/ezyang
2022-05-18 23:18:53 +00:00
..
_static
_templates
community
elastic
notes improve mps note to describe the different functions available (#77767) 2022-05-18 20:17:23 +00:00
rpc
scripts quant doc: improve rendered documentation for backend_config_dict 2022-05-18 11:46:07 +00:00
amp.rst Remove operators that support BFloat16 in the fp32 cast policy list of AutocastCPU (#77623) 2022-05-17 16:49:17 +00:00
autograd.rst
backends.rst Add the Runtime components for MPS backend. (#76725) 2022-05-11 17:19:45 +00:00
benchmark_utils.rst
bottleneck.rst
checkpoint.rst
complex_numbers.rst
conf.py [quant][fx] Move backend_config folder to torch.ao.quantization 2022-04-19 15:38:57 +00:00
config_mod.rst
cpp_extension.rst
cpp_index.rst
cuda.rst [RELAND] Adds torch.cuda.is_current_stream_capturing (#77789) 2022-05-18 23:18:53 +00:00
cudnn_persistent_rnn.rst
cudnn_rnn_determinism.rst
data.rst
ddp_comm_hooks.rst
deploy.rst Back out "Back out "[torch deploy] Update deploy.rst with working simple example"" (#76713) 2022-05-03 14:12:18 +00:00
distributed.algorithms.join.rst
distributed.elastic.rst
distributed.optim.rst
distributed.rst Add TORCH_CPP_LOG_LEVEL to the docs 2022-05-03 17:01:11 +00:00
distributions.rst
dlpack.rst
docutils.conf
fft.rst
fsdp.rst
futures.rst
fx.rst Fix doc build 2022-04-19 04:07:47 +00:00
hub.rst
index.rst Revert "Contribution- Grammatical Corrections in the documentation" 2022-05-05 23:13:10 +00:00
jit.rst [Reland take-2] Add JIT graph fuser for oneDNN Graph API (v0.5) 2022-05-05 16:57:03 +00:00
jit_builtin_functions.rst
jit_language_reference.rst
jit_language_reference_v2.rst
jit_python_reference.rst
jit_unsupported.rst
linalg.rst Revert "Add linalg.lu_solve" 2022-05-09 19:12:30 +00:00
math-quantizer-equation.png
mobile_optimizer.rst
model_zoo.rst
monitor.rst
multiprocessing.rst
name_inference.rst
named_tensor.rst
nested.rst
nn.functional.rst
nn.init.rst add trunc_normal_ function to doc of torch.nn.init 2022-05-06 14:33:08 +00:00
nn.rst move the stateless util to public API! 2022-04-21 13:42:24 +00:00
onnx.rst Update onnx.rst 2022-04-08 20:07:01 +00:00
onnx_supported_aten_ops.rst Add list of supported ATen ops by ONNX converter into torch.onnx page 2022-04-07 00:05:44 +00:00
optim.rst Remove misleading statement in optim.Optimizer docs (#76967) 2022-05-10 14:39:53 +00:00
package.rst Fix typo in torch.package code and docs (#77604) 2022-05-17 17:35:39 +00:00
pipeline.rst
profiler.rst
quantization-accuracy-debugging.rst quant docs: best practices for quantization accuracy debugging 2022-05-17 12:16:52 +00:00
quantization-backend-configuration.rst quantization: autogenerate quantization backend configs for documentation (#75126) 2022-04-04 22:22:30 +00:00
quantization-support.rst
quantization.rst quant docs: best practices for quantization accuracy debugging 2022-05-17 12:16:52 +00:00
random.rst
rpc.rst
sparse.rst
special.rst Implement torch.special.log_ndtr 2022-03-29 23:13:37 +00:00
storage.rst Virtualize <type>Storage classes (#66970) 2022-03-22 23:44:48 +00:00
tensor_attributes.rst
tensor_view.rst
tensorboard.rst
tensors.rst Unprivate _index_reduce and add documentation 2022-05-13 19:48:38 +00:00
testing.rst
torch.ao.ns._numeric_suite.rst
torch.ao.ns._numeric_suite_fx.rst
torch.overrides.rst Revert "Revert "Implement sym_sizes to create proper IR for sym ints representing tensor sizes (#76836)"" 2022-05-18 18:40:57 +00:00
torch.rst Unprivate _index_reduce and add documentation 2022-05-13 19:48:38 +00:00
type_info.rst