Add GradMode::enabled check to max_pool1d (#46767)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/46767
## Benchmark
```
------------------------------------------------------------------------------------------ benchmark: 2 tests ------------------------------------------------------------------------------------------
Name (time in us) Min Max Mean StdDev Median IQR Outliers OPS Rounds Iterations
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_grad_disabled 390.0155 (1.0) 533.4131 (1.0) 392.6161 (1.0) 8.5603 (1.0) 390.7457 (1.0) 0.3912 (1.0) 98;319 2,547.0171 (1.0) 2416 1
test_grad_enabled 3,116.7269 (7.99) 4,073.2883 (7.64) 3,178.0827 (8.09) 122.7487 (14.34) 3,142.2675 (8.04) 33.0228 (84.42) 10;22 314.6551 (0.12) 225 1
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
```
*snippet (using pytest benchmark module)*
```
import torch
torch.set_num_threads(1)
x = torch.randn(1000, 10, 36, requires_grad=True)
def test_grad_enabled(benchmark):
benchmark(torch.max_pool1d, x, 2)
def test_grad_disabled(benchmark):
torch.set_grad_enabled(False)
benchmark(torch.max_pool1d, x, 2)
```
Test Plan: Imported from OSS
Reviewed By: mrshenli
Differential Revision: D24565126
Pulled By: heitorschueroff
fbshipit-source-id: 91a93be9921f597db21e9dc277f6e36eae85b37a
