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[BE] remove torch deploy - conditionals (#158288)

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This PR is part of the work to deprecate torch::deploy in OSS. Effectively it does 3 things to get started.
1. Remove test_deploy_interaction as we no longer need to worry about this
2. Remove all torch._running_with_deploy checks and use the False path always (surfaced 1)
3. Remove `USE_DEPLOY` and switch to the default path always

Note: MyPy does fail on a bunch of things here as a bunch of older files are touched. It may be better to fix these things on a separate PR

Pull Request resolved: https://github.com/pytorch/pytorch/pull/158288
Approved by: https://github.com/albanD
This commit is contained in:
PaliC
2025-07-23 10:34:43 -04:00
committed by PyTorch MergeBot
parent da94023b02
commit ab26d4fbeb
22 changed files with 371 additions and 496 deletions
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8
test/test_sparse_csr.py
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@ -3603,8 +3603,8 @@ class TestSparseCompressedTritonKernels(TestCase):
@onlyCUDA
@dtypes(torch.half, torch.bfloat16, torch.float)
@dtypesIfCUDA(torch.half, *[torch.bfloat16] if SM80OrLater else [], torch.float)
@unittest.skipIf((not TEST_WITH_TORCHINDUCTOR) or (IS_FBCODE and IS_REMOTE_GPU) or torch._running_with_deploy(),
"Skipped for deploy and internal with remote GPUs")
@unittest.skipIf((not TEST_WITH_TORCHINDUCTOR) or (IS_FBCODE and IS_REMOTE_GPU),
"Skipped for internal with remote GPUs")
def test_triton_bsr_dense_bmm(self, device, dtype, index_dtype, block_size):
from functools import partial
from torch.sparse._triton_ops import bsr_dense_mm
@ -3680,8 +3680,8 @@ class TestSparseCompressedTritonKernels(TestCase):
@onlyCUDA
@dtypes(torch.half)
@unittest.skipIf(IS_FBCODE and IS_REMOTE_GPU or torch._running_with_deploy(),
"Skipped for deploy and internal with remote GPUs")
@unittest.skipIf(IS_FBCODE and IS_REMOTE_GPU,
"Skipped for internal with remote GPUs")
def test_triton_bsr_dense_bmm_error_messages(self, device, dtype):
from torch.sparse._triton_ops import bsr_dense_mm