debug_typical_sequence

Author: JewelRoam

graph_net/test/dev_model_list/validation_error_model_list.txt

@@ -0,0 +1,27 @@
+samples/ultralytics/yolov3-tinyu
+samples/torchgeometric/RECT_L
+samples/transformers-auto-model/opus-mt-en-gv
+samples/timm/convnextv2_base.fcmae_ft_in1k
+samples/torchvision/vgg16_bn
+samples/timm/regnety_080_tv.tv2_in1k
+samples/timm/mobilenetv4_conv_aa_large.e230_r384_in12k
+samples/transformers-auto-model/distilbert_distilbert-base-multilingual-cased
+samples/transformers-auto-model/OFA-Sys_chinese-clip-vit-large-patch14
+samples/transformers-auto-model/opus-mt-tc-bible-big-deu_eng_fra_por_spa-bat
+samples/transformers-auto-model/opus-mt-en-tw
+samples/timm/hgnet_tiny.paddle_in1k
+samples/transformers-auto-model/opus-mt-ase-es
+samples/timm/resnetv2_18.ra4e3600r224_in1k
+samples/transformers-auto-model/TinyLlama_TinyLlama-1.1B-Chat-v0.4
+samples/timm/resnetaa50d.din12k
+samples/transformers-auto-model/bge-small-en-v1.5
+samples/timm/res2net50_14w_8s.in1k
+samples/torchaudio/wavlm_base
+samples/transformers-auto-model/opus-mt-en-sal
+samples/transformers-auto-model/opus-mt-en-phi
+samples/transformers-auto-model/opus-mt-fi-niu
+samples/transformers-auto-model/opus-mt-tc-bible-big-gmw-deu_eng_fra_por_spa
+samples/transformers-auto-model/opus-mt-NORTHEU-NORTHEU
+samples/transformers-auto-model/sentence-transformers_paraphrase-distilroberta-base-v1
+samples/transformers-auto-model/TrustSafeAI_RADARVicuna7B
+

graph_net/test/typical_sequence_decomposer_test.sh

@@ -2,10 +2,12 @@
 
 GRAPH_NET_ROOT=$(python3 -c "import graph_net; import os; print(os.path.dirname(os.path.dirname(graph_net.__file__)))")
 DECOMPOSE_PATH=/tmp/decompose_workspace
+# DECOMPOSE_PATH=$GRAPH_NET_ROOT/decompose_test_level5_100
 
 mkdir -p "$DECOMPOSE_PATH"
 
-model_list="$GRAPH_NET_ROOT/graph_net/config/small100_torch_samples_list.txt"
+# model_list="$GRAPH_NET_ROOT/graph_net/config/small100_torch_samples_list.txt"
+model_list="$GRAPH_NET_ROOT/graph_net/test/dev_model_list/validation_error_model_list.txt"
 
 python3 -m graph_net.torch.typical_sequence_split_points \
     --model-list "$model_list" \