show the error report in the log

chintu619 · Apr 23, 2022 · 65b5356 · 65b5356
1 parent 36bdfcb
commit 65b5356
Showing 1 changed file with 7 additions and 4 deletions.
diff --git a/ci/test_integration_espnet2.sh b/ci/test_integration_espnet2.sh
@@ -115,18 +115,21 @@ done
 for t in ${feats_types}; do 
     for t2 in ${token_types}; do
         echo "==== feats_type=${t}, token_types=${t2} ==="
-        ./run.sh --ngpu 0 --stage 6 --stop-stage 13 --skip-upload false --feats-type "${t}" --tgt_token_type "${t2}" --src_token_type "${t2}" \
-            --st-args "--max_epoch=1" --lm-args "--max_epoch=1" --inference_args "--beam_size 1" --python "${python}"
+        if ! ./run.sh --ngpu 0 --stage 6 --stop-stage 13 --skip-upload false --feats-type "${t}" --tgt_token_type "${t2}" --src_token_type "${t2}" \
+            --st-args "--max_epoch=1" --lm-args "--max_epoch=1" --inference_args "--beam_size 5" --python "${python}"
+        then
+            cat exp/st_train_st_raw_bpe_lc.rm30_max_epoch1/inference_beam_size1_st_model_valid.acc.ave/train_dev/logdir/st_inference.1.log
+        fi
     done
 done
 echo "==== feats_type=raw, token_types=bpe, model_conf.extract_feats_in_collect_stats=False, normalize=utt_mvn ==="
 ./run.sh --ngpu 0 --stage 10 --stop-stage 13 --skip-upload false --feats-type "raw" --tgt_token_type "bpe" --src_token_type "bpe" \
-    --feats_normalize "utterance_mvn" --lm-args "--max_epoch=1" --inference_args "--beam_size 1" --python "${python}" \
+    --feats_normalize "utterance_mvn" --lm-args "--max_epoch=1" --inference_args "--beam_size 5" --python "${python}" \
     --st-args "--model_conf extract_feats_in_collect_stats=false --max_epoch=1"
 
 echo "==== use_streaming, feats_type=raw, token_types=bpe, model_conf.extract_feats_in_collect_stats=False, normalize=utt_mvn ==="
 ./run.sh --use_streaming true --ngpu 0 --stage 6 --stop-stage 13 --skip-upload false --feats-type "raw" --tgt_token_type "bpe" --src_token_type "bpe" \
-    --feats_normalize "utterance_mvn" --lm-args "--max_epoch=1" --inference_args "--beam_size 1" --python "${python}" \
+    --feats_normalize "utterance_mvn" --lm-args "--max_epoch=1" --inference_args "--beam_size 5" --python "${python}" \
     --st-args "--model_conf extract_feats_in_collect_stats=false --max_epoch=1 --encoder=contextual_block_transformer --decoder=transformer
                 --encoder_conf block_size=40 --encoder_conf hop_size=16 --encoder_conf look_ahead=16"