From 895bb456b9ab6596206bfb13130edfe41ad7228b Mon Sep 17 00:00:00 2001 From: sunchao <1299792067@qq.com> Date: Fri, 18 Apr 2025 09:50:16 +0800 Subject: [PATCH] =?UTF-8?q?=E2=9C=A8=20feat:=20=E6=B7=BB=E5=8A=A0=E6=B5=8B?= =?UTF-8?q?=E8=AF=95=E7=94=A8=E4=BE=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../test/data/compare_statis.vis | 948 ++++++++++++++++++ 1 file changed, 948 insertions(+) create mode 100644 plugins/tensorboard-plugins/tb_graph_ascend/test/data/compare_statis.vis diff --git a/plugins/tensorboard-plugins/tb_graph_ascend/test/data/compare_statis.vis b/plugins/tensorboard-plugins/tb_graph_ascend/test/data/compare_statis.vis new file mode 100644 index 000000000..5820af6ac --- /dev/null +++ b/plugins/tensorboard-plugins/tb_graph_ascend/test/data/compare_statis.vis @@ -0,0 +1,948 @@ +{ + "ToolTip": "{\"shape\": \"\\u6570\"}", + "NPU": { + "edge": [], + "node": { + "AddOne_0": { + "matched_node_link": [ + "AddOne_0" + ], + "data": { + "precision_index": 0.0 + }, + "id": "AddOne_0", + "inputs": [], + "input_data": { + "AddOne_0.input_arg.0": { + "type": "torch.Tensor", + "dtype": "", + "shape": [ + 32, + 512, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406", + "MaxAbsErr": 0.0, + "MinAbsErr": 0.0, + "MeanAbsErr": 0.0, + "NormAbsErr": 0.0, + "MaxRelativeErr": "0.0000%", + "MinRelativeErr": "0.0000%", + "MeanRelativeErr": "0.0000%", + "NormRelativeErr": "0.0000%" + }, + "AddOne_0.input_arg.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 64, + 256, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406", + "MaxAbsErr": 0.0, + "MinAbsErr": 0.0, + "MeanAbsErr": 0.0, + "NormAbsErr": 0.0, + "MaxRelativeErr": "0.0000%", + "MinRelativeErr": "0.0000%", + "MeanRelativeErr": "0.0000%", + "NormRelativeErr": "0.0000%" + }, + "AddOne_0.1": {}, + "AddOne_0.2": {} + }, + "output_data": { + "AddOne_0.output_arg.0": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 32, + 512, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406", + "MaxAbsErr": 0.0, + "MinAbsErr": 0.0, + "MeanAbsErr": 0.0, + "NormAbsErr": 0.0, + "MaxRelativeErr": "0.0000%", + "MinRelativeErr": "0.0000%", + "MeanRelativeErr": "0.0000%", + "NormRelativeErr": "0.0000%" + }, + "AddOne_0.output_arg.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 64, + 256, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406", + "MaxAbsErr": 0.0, + "MinAbsErr": 0.0, + "MeanAbsErr": 0.0, + "NormAbsErr": 0.0, + "MaxRelativeErr": "0.0000%", + "MinRelativeErr": "0.0000%", + "MeanRelativeErr": "0.0000%", + "NormRelativeErr": "0.0000%" + }, + "AddOne_0.1": {}, + "AddOne_0.2": {} + }, + "is_forward": true, + "node_type": 0, + "outputs": [], + "pair": "None", + "subnodes": [ + "Test.add_0_withlonglonglonglonglonglonglonglongname.tt.ee", + "add_51111" + ], + "type": "AddOne", + "upnode": "Test.maxpoolMaxPool2.maxpoolpo.tt.ee" + }, + "AddOne_1": { + "matched_node_link": [], + "data": { + "precision_index": 0.8 + }, + "id": "AddOne_1", + "inputs": [], + "input_data": { + "Test.maxpoolMaxPool2.maxpoolpo.tt.ee.input_arg.0": { + "data_name": "-10", + "longlonglonglonglonglongName": "hah", + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": "[32, 512, 2, 2]", + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406", + "error_key": [ + "type", + "shape" + ] + }, + "Test.maxpoolMaxPool2.maxpoolpo.tt.ee.kwrag_arg.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 64, + 256, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + } + }, + "is_forward": true, + "node_type": 9, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [ + "add_1", + "add_4" + ], + "type": "AddOne", + "upnode": "Test.maxpoolMaxPool2.maxpoolpo.tt.ee" + }, + "Test.AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.tt.ee": { + "matched_node_link": [], + "data": { + "precision_index": 0 + }, + "id": "Test.AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.tt.ee", + "inputs": [], + "is_forward": true, + "node_type": 0, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [ + "add_2" + ], + "type": "AddOne", + "upnode": "AddThree_0", + "micro_step_id": "3" + }, + "AddThree_0": { + "matched_node_link": [ + "B___AddThree_0" + ], + "data": { + "precision_index": 0.5 + }, + "id": "AddThree_0", + "input_data": {}, + "is_forward": true, + "node_type": 0, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [ + "arg0_1_0", + "Test.maxpoolMaxPool2.maxpoolpo.tt.ee", + "Test.AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.tt.ee", + "output_0" + ], + "type": "AddThree", + "upnode": "None" + }, + "Test.maxpoolMaxPool2.maxpoolpo.tt.ee": { + "matched_node_link": [ + "B___Test.maxpoolMaxPool2.maxpoolpo.tt.ee" + ], + "data": { + "precision_status": false, + "Host Self Duration(us)": 56.24, + "Host Total Duration(us)": 56.24, + "Device Self Duration(us)": 0, + "Device Total Duration(us)": 0, + "overflow_level": "medium" + }, + "id": "Test.maxpoolMaxPool2.maxpoolpo.tt.ee", + "inputs": [], + "input_data": { + "Test.maxpoolMaxPool2.maxpoolpo.tt.ee.input_arg.0": { + "data_name": "-10", + "longlonglonglonglonglongName": "hah", + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": "[32, 512, 2, 2]", + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406", + "error_key": [ + "type", + "shape" + ] + }, + "Test.maxpoolMaxPool2.maxpoolpo.tt.ee.kwrag_arg.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 64, + 256, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + } + }, + "is_forward": true, + "node_type": 0, + "outputs": [], + "output_data": { + "output.0": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 128, + 512, + 2, + 2 + ], + "Max": "538.2343242", + "Min": "-234.124124234", + "Mean": "-510.23432654", + "Norm": "3555.3406" + }, + "output.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 16, + 256, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + } + }, + "pair": "None", + "subnodes": [ + "AddOne_0", + "AddOne_1" + ], + "suggestions": { + "text": "test ptdbg工具 with longlong tenm tensldjta te alsejtka gaew jtljae tet jsdklfj.", + "ptdbg工具": "https://gitee.com/ascend/att/tree/master/debug/accuracy_tools/ptdbg_ascend" + }, + "stack_info": [ + "File /home/w3000/xxxx/subnodes/sdd/adad/srit-sda/artar/prased, line 136. om het, \n dada = rtens/sda.ddd(asdw)", + "File /home/w3000/xxxx/subnodes/sdd/adad/srit-sda/artar/prased, line 136. om het, \n dada = rtens/sda.ddd(asdw)", + "File /home/w3000/xxxx/subnodes/sdd/adad/srit-sda/artar/prased, line 136. om het, \n dada = rtens/sda.ddd(asdw)" + ], + "type": "AddTwo", + "upnode": "AddThree_0", + "micro_step_id": "0" + }, + "Test.add_0_withlonglonglonglonglonglonglonglongname.tt.ee": { + "matched_node_link": [ + "B___AddThree_0", + "B___Test.maxpoolMaxPool2.maxpoolpo.tt.ee", + "B___AddOne_0", + "B___Test.add_0_withlonglonglonglonglonglonglonglongname.tt.ee" + ], + "data": { + "precision_index": 0.35 + }, + "id": "Test.add_0_withlonglonglonglonglonglonglonglongname.tt.ee", + "inputs": [], + "input_data": { + "input_arg.0": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 32, + 512, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + }, + "input_arg.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 64, + 256, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + }, + "input_arg.2": "None" + }, + "is_forward": true, + "node_type": 0, + "outputs": [], + "output_data": { + "output.0": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 128, + 512, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + }, + "output.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 16, + 256, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + } + }, + "pair": "None", + "subnodes": [], + "type": "addlongtingmelasidngkonklajelkjsakljgskadtest", + "upnode": "AddOne_0" + }, + "add_51111": { + "matched_node_link": [], + "data": { + "precision_status": true, + "precision_index": 1, + "md5 Compare Result": "Pass" + }, + "id": "add_51111", + "inputs": [], + "input_data": {}, + "is_forward": true, + "node_type": 0, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [], + "type": "add", + "upnode": "AddOne_0" + }, + "add_1": { + "matched_node_link": [], + "data": { + "precision_status": false, + "precision_index": 0, + "md5 Compare Result": "Pass" + }, + "id": "add_1", + "inputs": [], + "input_data": {}, + "is_forward": true, + "node_type": 0, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [], + "type": "add", + "upnode": "AddOne_1" + }, + "add_4": { + "matched_node_link": [], + "data": {}, + "id": "add_4", + "inputs": [], + "input_data": {}, + "is_forward": true, + "node_type": 0, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [], + "type": "add", + "upnode": "AddOne_1" + }, + "add_2": { + "matched_node_link": [], + "data": {}, + "id": "add_2", + "inputs": [], + "input_data": { + "add_2.input_arg.0": { + "longlonglonglonglonglongName": "hah", + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": "[32, 512, 2, 2]", + "Max": "6408.2343242", + "Min": "-3134.124124234", + "Mean": "-501.23432654", + "Norm": "3555.3406", + "error_key": [ + "type", + "shape" + ] + }, + "add_2.kwrag_arg.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 64, + 256, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + } + }, + "is_forward": true, + "node_type": 0, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [], + "type": "add", + "upnode": "Test.AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.tt.ee" + }, + "arg0_1_0": { + "matched_node_link": [], + "data": {}, + "id": "arg0_1_0", + "inputs": [], + "input_data": {}, + "is_forward": true, + "node_type": 0, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [], + "type": "arg0_1", + "upnode": "AddThree_0", + "micro_step_id": "2", + "suggestions": { + "text": "test ptdbg工" + }, + "stack_info": [ + "File /home/w3000/xxxx/subnodes/sdd/adad/srit-sda/artar/prased, line 136. om het, \n dada = rtens/sda.ddd(asdw)" + ] + }, + "output_0": { + "matched_node_link": [], + "data": {}, + "id": "output_0", + "inputs": [], + "input_data": {}, + "is_forward": true, + "node_type": 0, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [], + "type": "output", + "upnode": "AddThree_0", + "micro_step_id": "3" + } + }, + "root": "AddThree_0" + }, + "Bench": { + "edge": [], + "node": { + "AddOne_0": { + "matched_node_link": [ + "AddOne_0" + ], + "data": {}, + "id": "AddOne_0", + "inputs": [], + "input_data": { + "AddOne_0.input_arg.0": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 32, + 512, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + }, + "AddOne_0.input_arg.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 64, + 256, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + } + }, + "output_data": { + "AddOne_0.output_arg.0": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 32, + 512, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + }, + "AddOne_0.output_arg.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 64, + 256, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + } + }, + "is_forward": true, + "node_type": 0, + "outputs": [], + "pair": "None", + "subnodes": [ + "Test.add_0_withlonglonglonglonglonglonglonglongname.tt.ee" + ], + "type": "AddOne", + "upnode": "Test.maxpoolMaxPool2.maxpoolpo.tt.ee" + }, + "AddOne_1": { + "matched_node_link": [], + "data": {}, + "id": "AddOne_1", + "inputs": [], + "input_data": {}, + "is_forward": true, + "node_type": 0, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [ + "add_1" + ], + "type": "AddOne", + "upnode": "Test.maxpoolMaxPool2.maxpoolpo.tt.ee" + }, + "Test.AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.tt.ee": { + "matched_node_link": [], + "data": {}, + "id": "Test.AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.tt.ee", + "inputs": [], + "input_data": {}, + "is_forward": true, + "node_type": 0, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [ + "add_2" + ], + "type": "AddOne", + "upnode": "AddThree_0" + }, + "AddThree_0": { + "matched_node_link": [ + "N___AddThree_0" + ], + "data": {}, + "id": "AddThree_0", + "inputs": [], + "input_data": {}, + "is_forward": true, + "node_type": 0, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [ + "arg0_1_0", + "Test.maxpoolMaxPool2.maxpoolpo.tt.ee", + "Test.AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.tt.ee", + "output_0" + ], + "type": "AddThree", + "upnode": "root" + }, + "Test.maxpoolMaxPool2.maxpoolpo.tt.ee": { + "matched_node_link": [], + "data": {}, + "id": "Test.maxpoolMaxPool2.maxpoolpo.tt.ee", + "inputs": [], + "input_data": { + "Test.maxpoolMaxPool2.maxpoolpo.tt.ee.input_arg.0": { + "longlonglonglonglonglongName": "hah", + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": "[32, 512, 2, 2]", + "Max": "548.2343242", + "Min": "-234.124124234", + "Mean": "-5.23432654", + "Norm": "35555.3406", + "error_key": [ + "type", + "shape" + ] + }, + "Test.maxpoolMaxPool2.maxpoolpo.tt.ee.kwrag_arg.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 64, + 256, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + } + }, + "is_forward": true, + "node_type": 0, + "outputs": [], + "output_data": { + "output.0": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 128, + 512, + 2, + 2 + ], + "Max": "5038.2343242", + "Min": "-1234.124124234", + "Mean": "-410.23432654", + "Norm": "3255.3406" + }, + "output.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 16, + 256, + 2, + 2 + ], + "Max": "538.2343242", + "Min": "-234.124124234", + "Mean": "-51.23432654", + "Norm": "35555.3406" + } + }, + "pair": "None", + "subnodes": [ + "AddOne_0", + "AddOne_1" + ], + "type": "AddTwo", + "upnode": "AddThree_0" + }, + "Test.add_0_withlonglonglonglonglonglonglonglongname.tt.ee": { + "matched_node_link": [ + "N___AddThree_0", + "N___Test.maxpoolMaxPool2.maxpoolpo.tt.ee", + "N___AddOne_0", + "N___Test.add_0_withlonglonglonglonglonglonglonglongname.tt.ee" + ], + "data": {}, + "id": "Test.add_0_withlonglonglonglonglonglonglonglongname.tt.ee", + "inputs": [], + "input_data": { + "input_arg.0": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 32, + 512, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + }, + "input_arg.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 64, + 256, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + } + }, + "is_forward": true, + "node_type": 1, + "outputs": [], + "output_data": { + "output.0": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 128, + 512, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + }, + "output.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 16, + 256, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + } + }, + "pair": "None", + "subnodes": [], + "type": "add", + "upnode": "AddOne_0" + }, + "add_1": { + "matched_node_link": [], + "data": {}, + "id": "add_1", + "inputs": [], + "input_data": {}, + "is_forward": true, + "node_type": 1, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [], + "type": "add", + "upnode": "AddOne_1" + }, + "add_2": { + "matched_node_link": [], + "data": {}, + "id": "add_2", + "inputs": [], + "input_data": { + "add_2.input_arg.0": { + "longlonglonglonglonglongName": "hah", + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": "[32, 512, 2, 2]", + "Max": "548.2343242", + "Min": "-234.124124234", + "Mean": "-5.23432654", + "Norm": "35555.3406", + "error_key": [ + "type", + "shape" + ] + }, + "add_2.kwrag_arg.1": { + "type": "torch.Tensor", + "dtype": "torch.float32", + "shape": [ + 64, + 256, + 2, + 2 + ], + "Max": "5348.2343242", + "Min": "-2344.124124234", + "Mean": "-51.23432654", + "Norm": "355555.3406" + } + }, + "is_forward": true, + "node_type": 1, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [], + "type": "add", + "upnode": "Test.AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.tt.ee" + }, + "arg0_1_0": { + "matched_node_link": [], + "data": {}, + "id": "arg0_1_0", + "inputs": [], + "input_data": {}, + "is_forward": true, + "node_type": 1, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [], + "type": "arg0_1", + "upnode": "AddThree_0" + }, + "output_0": { + "matched_node_link": [], + "data": {}, + "id": "output_0", + "inputs": [], + "input_data": {}, + "is_forward": true, + "node_type": 1, + "outputs": [], + "output_data": {}, + "pair": "None", + "subnodes": [], + "type": "output", + "upnode": "AddThree_0" + } + }, + "root": "AddThree_0" + }, + "Colors": { + "#FF9B3D": { + "value": [ + 0, + 0.5 + ], + "description": "此节点所有输入输出的统计量相对误差,值越大代表测量值与标杆值的偏差越大,相对误差计算方式:|(测量值-标杆值)/标杆值|" + }, + "#FFDC7F": { + "value": [ + 0.5, + 1 + ], + "description": "此节点所有输入输出的统计量相对误差,值越大代表测量值与标杆值的偏差越大,相对误差计算方式:|(测量值-标杆值)/标杆值|" + }, + "#C7C7C7": { + "value": "无匹配节点", + "description": "对比过程中节点未匹配上" + } + }, + "MicroSteps": 5, + "StepList": [ + "ALL", + 0, + 1, + 2, + 3 + ], + "task": "summary", + "match": [], + "npu_match_nodes": { + "AddOne_0": "AddOne_0" + }, + "bench_match_nodes": { + "AddOne_0": "AddOne_0" + }, + "OverflowCheck": true +} \ No newline at end of file -- Gitee