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Revert "Remove memory-cutoff from ActivationBalancer."

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This reverts commit 5afe0e78556e2e76750cae64008c9dd5c1931c5c.
This commit is contained in:
Daniel Povey 2022-12-21 18:39:16 +08:00
parent 829e4bd4db
commit 11f68afa1f
1 changed files with 5 additions and 1 deletions
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6
egs/librispeech/ASR/pruned_transducer_stateless7/scaling.py
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@ -871,6 +871,9 @@ class ActivationBalancer(torch.nn.Module):
if prob is None: if prob is None:
prob = ScheduledFloat((0.0, 0.5), (8000.0, 0.125), default=0.4) prob = ScheduledFloat((0.0, 0.5), (8000.0, 0.125), default=0.4)
self.prob = prob self.prob = prob
# 5% of the time we will return and do nothing because memory usage is
# too high.
self.mem_cutoff = CutoffEstimator(0.05)
# actually self.num_channels is no longer needed except for an assertion. # actually self.num_channels is no longer needed except for an assertion.
self.num_channels = num_channels self.num_channels = num_channels
@ -885,7 +888,8 @@ class ActivationBalancer(torch.nn.Module):
def forward(self, x: Tensor) -> Tensor: def forward(self, x: Tensor) -> Tensor:
if torch.jit.is_scripting() or not x.requires_grad: if (torch.jit.is_scripting() or not x.requires_grad or
(x.is_cuda and self.mem_cutoff(torch.cuda.memory_allocated()))):
return _no_op(x) return _no_op(x)
prob = float(self.prob) prob = float(self.prob)