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fix: numba.*_num_threads resets torch num_threads #8141 #8145

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merged 1 commit into from
Jan 11, 2024
Merged

fix: numba.*_num_threads resets torch num_threads #8141 #8145

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3 changes: 3 additions & 0 deletions nemo/collections/asr/parts/numba/rnnt_loss/utils/cpu_utils/cpu_rnnt.py
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Original file line number Diff line number Diff line change
Expand Up @@ -203,10 +203,13 @@ def __init__(
self.num_threads_ = num_threads
self.batch_first = batch_first

_torch_num_threads = torch.get_num_threads()
if num_threads > 0:
numba.set_num_threads(min(multiprocessing.cpu_count(), num_threads))
self.num_threads_ = numba.get_num_threads()
else:
self.num_threads_ = numba.get_num_threads()
torch.set_num_threads(_torch_num_threads)

def cost_and_grad_kernel(
self,
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2 changes: 2 additions & 0 deletions nemo/collections/asr/parts/numba/rnnt_loss/utils/cuda_utils/gpu_rnnt.py
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Original file line number Diff line number Diff line change
Expand Up @@ -82,11 +82,13 @@ def __init__(
self.num_threads_ = num_threads
self.stream_ = stream # type: cuda.cudadrv.driver.Stream

_torch_num_threads = torch.get_num_threads()
if num_threads > 0:
numba.set_num_threads(min(multiprocessing.cpu_count(), num_threads))
self.num_threads_ = numba.get_num_threads()
else:
self.num_threads_ = numba.get_num_threads()
torch.set_num_threads(_torch_num_threads)

def log_softmax(self, acts: torch.Tensor, denom: torch.Tensor):
"""
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