disable non-deterministic cudnn ctcloss (#22977)

Summary:
Associated issue: https://github.com/pytorch/pytorch/issues/21680
Pull Request resolved: https://github.com/pytorch/pytorch/pull/22977

Differential Revision: D16357873

Pulled By: nairbv

fbshipit-source-id: 58711bac7d3e8390e868d594dc265ba053a1537c
diff --git a/aten/src/ATen/native/LossCTC.cpp b/aten/src/ATen/native/LossCTC.cpp
index 44e1e29..a8f91c9 100644
--- a/aten/src/ATen/native/LossCTC.cpp
+++ b/aten/src/ATen/native/LossCTC.cpp
@@ -364,7 +364,9 @@
 
   Tensor res;
   if (use_cudnn) {
-    res = std::get<0>(at::_cudnn_ctc_loss(log_probs, targets, input_lengths, target_lengths, BLANK, ctx.deterministicCuDNN(), zero_infinity));
+    // non-deterministic ctc loss on cudnn disabled due to inconsistent results
+    // see: https://github.com/pytorch/pytorch/issues/21680
+    res = std::get<0>(at::_cudnn_ctc_loss(log_probs, targets, input_lengths, target_lengths, BLANK, /*deterministic=*/true, zero_infinity));
   } else {
     res = std::get<0>(at::_ctc_loss(log_probs, targets, input_lengths, target_lengths, BLANK, zero_infinity));
     if (zero_infinity) {