diff --git a/mindinsight/_version.py b/mindinsight/_version.py index ecb17e69..e92f3fb3 100644 --- a/mindinsight/_version.py +++ b/mindinsight/_version.py @@ -14,4 +14,4 @@ # ============================================================================ """Mindinsight version module.""" -VERSION = '1.1.0' +VERSION = '1.2.0' diff --git a/tests/st/func/debugger/expect_results/restful_results/multi_next_node.json b/tests/st/func/debugger/expect_results/restful_results/multi_next_node.json index df0667b8..0a52dbe6 100644 --- a/tests/st/func/debugger/expect_results/restful_results/multi_next_node.json +++ b/tests/st/func/debugger/expect_results/restful_results/multi_next_node.json @@ -1 +1 @@ -{"metadata": {"state": "waiting", "step": 1, "device_name": "0", "node_name": "Default/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/OneHot-op0", "backend": "GPU", "enable_recheck": false, "graph_name": "graph_1", "recommendation_confirmed": false, "debugger_version": {"ms": "1.1.0"}}, "graph": {"graph_names": ["graph_0", "graph_1"], "nodes": [{"name": "graph_0", "type": "name_scope", "attr": {}, "input": {}, "output": {}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 2, "independent_layout": false}, {"name": "graph_1", "type": "name_scope", "attr": {}, "input": {}, "output": {}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 2, "independent_layout": false}]}, "watch_points": []} \ No newline at end of file +{"metadata": {"state": "waiting", "step": 1, "device_name": "0", "node_name": "Default/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/OneHot-op0", "backend": "GPU", "enable_recheck": false, "graph_name": "graph_1", "recommendation_confirmed": false, "debugger_version": {"ms": "1.2.0"}}, "graph": {"graph_names": ["graph_0", "graph_1"], "nodes": [{"name": "graph_0", "type": "name_scope", "attr": {}, "input": {}, "output": {}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 2, "independent_layout": false}, {"name": "graph_1", "type": "name_scope", "attr": {}, "input": {}, "output": {}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 2, "independent_layout": false}]}, "watch_points": []} \ No newline at end of file diff --git a/tests/st/func/debugger/expect_results/restful_results/multi_retrieve_all.json b/tests/st/func/debugger/expect_results/restful_results/multi_retrieve_all.json index b3f7aeac..4357418d 100644 --- a/tests/st/func/debugger/expect_results/restful_results/multi_retrieve_all.json +++ b/tests/st/func/debugger/expect_results/restful_results/multi_retrieve_all.json @@ -1 +1 @@ -{"metadata": {"state": "waiting", "step": 1, "device_name": "0", "node_name": "", "backend": "Ascend", "enable_recheck": false, "graph_name": "", "recommendation_confirmed": false, "debugger_version": {"ms": "1.1.0"}}, "graph": {"graph_names": ["graph_0", "graph_1"], "nodes": [{"name": "graph_0", "type": "name_scope", "attr": {}, "input": {}, "output": {}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 2, "independent_layout": false}, {"name": "graph_1", "type": "name_scope", "attr": {}, "input": {}, "output": {}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 2, "independent_layout": false}]}, "watch_points": []} \ No newline at end of file +{"metadata": {"state": "waiting", "step": 1, "device_name": "0", "node_name": "", "backend": "Ascend", "enable_recheck": false, "graph_name": "", "recommendation_confirmed": false, "debugger_version": {"ms": "1.2.0"}}, "graph": {"graph_names": ["graph_0", "graph_1"], "nodes": [{"name": "graph_0", "type": "name_scope", "attr": {}, "input": {}, "output": {}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 2, "independent_layout": false}, {"name": "graph_1", "type": "name_scope", "attr": {}, "input": {}, "output": {}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 2, "independent_layout": false}]}, "watch_points": []} \ No newline at end of file diff --git a/tests/st/func/debugger/expect_results/restful_results/retrieve_all.json b/tests/st/func/debugger/expect_results/restful_results/retrieve_all.json index 97601f05..ab7240bc 100644 --- a/tests/st/func/debugger/expect_results/restful_results/retrieve_all.json +++ b/tests/st/func/debugger/expect_results/restful_results/retrieve_all.json @@ -1 +1 @@ -{"metadata": {"state": "waiting", "step": 1, "device_name": "0", "node_name": "", "backend": "Ascend", "enable_recheck": false, "graph_name": "graph_0", "recommendation_confirmed": false, "debugger_version": {"ms": "1.1.0"}}, "graph": {"graph_names": ["graph_0"], "nodes": [{"name": "Default", "type": "name_scope", "attr": {}, "input": {"Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradBiasAdd/BiasAddGrad-op21": {"shape": [[10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op24": {"shape": [[10, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradBiasAdd/BiasAddGrad-op29": {"shape": [[84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op32": {"shape": [[84, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradBiasAdd/BiasAddGrad-op37": {"shape": [[120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op40": {"shape": [[120, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/gradConv2D/Conv2DBackpropFilter-op48": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/gradConv2D/Conv2DBackpropFilter-op55": {"shape": [[6, 1, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}}, "output": {"Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/gradConv2D/Conv2DBackpropInput-op52": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/gradConv2D/Conv2DBackpropFilter-op55": {"shape": [[32, 1, 32, 32]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/gradMaxPoolWithArgmax/MaxPoolGradWithArgmax-op53": {"shape": [[32, 6, 4, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/gradMaxPoolWithArgmax/MaxPoolGradWithArgmax-op46": {"shape": [[32, 16, 4, 3]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op40": {"shape": [[32, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGrad-op36": {"shape": [[32, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op32": {"shape": [[32, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGrad-op28": {"shape": [[32, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op24": {"shape": [[32, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/gradConv2D/Conv2DBackpropFilter-op48": {"shape": [[32, 6, 14, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/gradSoftmaxCrossEntropyWithLogits/Mul-op20": {"shape": [[32, 10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGradV2-op92": {"shape": [[32, 1, 10, 10, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGradV2-op94": {"shape": [[32, 1, 28, 28, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 7, "independent_layout": false}, {"name": "Gradients", "type": "name_scope", "attr": {}, "input": {"Default/tuple_getitem[10]_0/tuple_getitem-op210": {"shape": [[32, 10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op15": {"shape": [[32, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op12": {"shape": [[32, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Cast-op205": {"shape": [[32, 16, 10, 10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op206": {"shape": [[32, 16, 4, 3]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op202": {"shape": [[32, 1, 10, 10, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op197": {"shape": [[32, 6, 14, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Cast-op188": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Cast-op195": {"shape": [[32, 6, 28, 28]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op196": {"shape": [[32, 6, 4, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op192": {"shape": [[32, 1, 28, 28, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}, "Default/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Cast-op190": {"shape": [[32, 1, 32, 32]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Reshape-op9": {"shape": [[32, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}}, "output": {"Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op22": {"shape": [[10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op30": {"shape": [[84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op38": {"shape": [[120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op49": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op56": {"shape": [[6, 1, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op25": {"shape": [[10, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op33": {"shape": [[84, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op41": {"shape": [[120, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 1, "independent_layout": false}]}, "watch_points": []} \ No newline at end of file +{"metadata": {"state": "waiting", "step": 1, "device_name": "0", "node_name": "", "backend": "Ascend", "enable_recheck": false, "graph_name": "graph_0", "recommendation_confirmed": false, "debugger_version": {"ms": "1.2.0"}}, "graph": {"graph_names": ["graph_0"], "nodes": [{"name": "Default", "type": "name_scope", "attr": {}, "input": {"Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradBiasAdd/BiasAddGrad-op21": {"shape": [[10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op24": {"shape": [[10, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradBiasAdd/BiasAddGrad-op29": {"shape": [[84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op32": {"shape": [[84, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradBiasAdd/BiasAddGrad-op37": {"shape": [[120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op40": {"shape": [[120, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/gradConv2D/Conv2DBackpropFilter-op48": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/gradConv2D/Conv2DBackpropFilter-op55": {"shape": [[6, 1, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}}, "output": {"Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/gradConv2D/Conv2DBackpropInput-op52": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/gradConv2D/Conv2DBackpropFilter-op55": {"shape": [[32, 1, 32, 32]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/gradMaxPoolWithArgmax/MaxPoolGradWithArgmax-op53": {"shape": [[32, 6, 4, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/gradMaxPoolWithArgmax/MaxPoolGradWithArgmax-op46": {"shape": [[32, 16, 4, 3]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op40": {"shape": [[32, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGrad-op36": {"shape": [[32, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op32": {"shape": [[32, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGrad-op28": {"shape": [[32, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op24": {"shape": [[32, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/gradConv2D/Conv2DBackpropFilter-op48": {"shape": [[32, 6, 14, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/gradSoftmaxCrossEntropyWithLogits/Mul-op20": {"shape": [[32, 10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGradV2-op92": {"shape": [[32, 1, 10, 10, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGradV2-op94": {"shape": [[32, 1, 28, 28, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 7, "independent_layout": false}, {"name": "Gradients", "type": "name_scope", "attr": {}, "input": {"Default/tuple_getitem[10]_0/tuple_getitem-op210": {"shape": [[32, 10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op15": {"shape": [[32, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op12": {"shape": [[32, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Cast-op205": {"shape": [[32, 16, 10, 10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op206": {"shape": [[32, 16, 4, 3]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op202": {"shape": [[32, 1, 10, 10, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op197": {"shape": [[32, 6, 14, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Cast-op188": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Cast-op195": {"shape": [[32, 6, 28, 28]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op196": {"shape": [[32, 6, 4, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op192": {"shape": [[32, 1, 28, 28, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}, "Default/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Cast-op190": {"shape": [[32, 1, 32, 32]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Reshape-op9": {"shape": [[32, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}}, "output": {"Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op22": {"shape": [[10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op30": {"shape": [[84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op38": {"shape": [[120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op49": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op56": {"shape": [[6, 1, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op25": {"shape": [[10, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op33": {"shape": [[84, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op41": {"shape": [[120, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 1, "independent_layout": false}]}, "watch_points": []} \ No newline at end of file diff --git a/tests/st/func/debugger/expect_results/restful_results/retrieve_next_node_on_gpu.json b/tests/st/func/debugger/expect_results/restful_results/retrieve_next_node_on_gpu.json index 1b467ff4..0b46576f 100644 --- a/tests/st/func/debugger/expect_results/restful_results/retrieve_next_node_on_gpu.json +++ b/tests/st/func/debugger/expect_results/restful_results/retrieve_next_node_on_gpu.json @@ -1 +1 @@ -{"metadata": {"state": "waiting", "step": 1, "device_name": "0", "node_name": "Default/TransData-op99", "backend": "GPU", "enable_recheck": false, "graph_name": "graph_0", "recommendation_confirmed": false, "debugger_version": {"ms": "1.1.0"}}, "graph": {"graph_names": ["graph_0"], "nodes": [{"name": "Default", "type": "name_scope", "attr": {}, "input": {"Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradBiasAdd/BiasAddGrad-op21": {"shape": [[10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op24": {"shape": [[10, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradBiasAdd/BiasAddGrad-op29": {"shape": [[84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op32": {"shape": [[84, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradBiasAdd/BiasAddGrad-op37": {"shape": [[120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op40": {"shape": [[120, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/gradConv2D/Conv2DBackpropFilter-op48": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/gradConv2D/Conv2DBackpropFilter-op55": {"shape": [[6, 1, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}}, "output": {"Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/gradConv2D/Conv2DBackpropInput-op52": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/gradConv2D/Conv2DBackpropFilter-op55": {"shape": [[32, 1, 32, 32]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/gradMaxPoolWithArgmax/MaxPoolGradWithArgmax-op53": {"shape": [[32, 6, 4, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/gradMaxPoolWithArgmax/MaxPoolGradWithArgmax-op46": {"shape": [[32, 16, 4, 3]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op40": {"shape": [[32, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGrad-op36": {"shape": [[32, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op32": {"shape": [[32, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGrad-op28": {"shape": [[32, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op24": {"shape": [[32, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/gradConv2D/Conv2DBackpropFilter-op48": {"shape": [[32, 6, 14, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/gradSoftmaxCrossEntropyWithLogits/Mul-op20": {"shape": [[32, 10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGradV2-op92": {"shape": [[32, 1, 10, 10, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGradV2-op94": {"shape": [[32, 1, 28, 28, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 7, "independent_layout": false}, {"name": "Gradients", "type": "name_scope", "attr": {}, "input": {"Default/tuple_getitem[10]_0/tuple_getitem-op210": {"shape": [[32, 10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op15": {"shape": [[32, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op12": {"shape": [[32, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Cast-op205": {"shape": [[32, 16, 10, 10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op206": {"shape": [[32, 16, 4, 3]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op202": {"shape": [[32, 1, 10, 10, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op197": {"shape": [[32, 6, 14, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Cast-op188": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Cast-op195": {"shape": [[32, 6, 28, 28]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op196": {"shape": [[32, 6, 4, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op192": {"shape": [[32, 1, 28, 28, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}, "Default/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Cast-op190": {"shape": [[32, 1, 32, 32]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Reshape-op9": {"shape": [[32, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}}, "output": {"Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op22": {"shape": [[10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op30": {"shape": [[84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op38": {"shape": [[120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op49": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op56": {"shape": [[6, 1, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op25": {"shape": [[10, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op33": {"shape": [[84, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op41": {"shape": [[120, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 1, "independent_layout": false}]}, "watch_points": []} \ No newline at end of file +{"metadata": {"state": "waiting", "step": 1, "device_name": "0", "node_name": "Default/TransData-op99", "backend": "GPU", "enable_recheck": false, "graph_name": "graph_0", "recommendation_confirmed": false, "debugger_version": {"ms": "1.2.0"}}, "graph": {"graph_names": ["graph_0"], "nodes": [{"name": "Default", "type": "name_scope", "attr": {}, "input": {"Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradBiasAdd/BiasAddGrad-op21": {"shape": [[10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op24": {"shape": [[10, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradBiasAdd/BiasAddGrad-op29": {"shape": [[84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op32": {"shape": [[84, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradBiasAdd/BiasAddGrad-op37": {"shape": [[120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op40": {"shape": [[120, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/gradConv2D/Conv2DBackpropFilter-op48": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/gradConv2D/Conv2DBackpropFilter-op55": {"shape": [[6, 1, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}}, "output": {"Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/gradConv2D/Conv2DBackpropInput-op52": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/gradConv2D/Conv2DBackpropFilter-op55": {"shape": [[32, 1, 32, 32]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/gradMaxPoolWithArgmax/MaxPoolGradWithArgmax-op53": {"shape": [[32, 6, 4, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/gradMaxPoolWithArgmax/MaxPoolGradWithArgmax-op46": {"shape": [[32, 16, 4, 3]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op40": {"shape": [[32, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGrad-op36": {"shape": [[32, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op32": {"shape": [[32, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGrad-op28": {"shape": [[32, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/fc3-Dense/gradMatMul/MatMul[6]_5/MatMul-op24": {"shape": [[32, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/gradConv2D/Conv2DBackpropFilter-op48": {"shape": [[32, 6, 14, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/gradSoftmaxCrossEntropyWithLogits/Mul-op20": {"shape": [[32, 10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGradV2-op92": {"shape": [[32, 1, 10, 10, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}, "Gradients/Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/gradReLU/ReluGradV2-op94": {"shape": [[32, 1, 28, 28, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 7, "independent_layout": false}, {"name": "Gradients", "type": "name_scope", "attr": {}, "input": {"Default/tuple_getitem[10]_0/tuple_getitem-op210": {"shape": [[32, 10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op15": {"shape": [[32, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op12": {"shape": [[32, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Cast-op205": {"shape": [[32, 16, 10, 10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op206": {"shape": [[32, 16, 4, 3]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op202": {"shape": [[32, 1, 10, 10, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op197": {"shape": [[32, 6, 14, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Cast-op188": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Cast-op195": {"shape": [[32, 6, 28, 28]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op196": {"shape": [[32, 6, 4, 14]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT16]"}, "Default/tuple_getitem[10]_0/tuple_getitem-op192": {"shape": [[32, 1, 28, 28, 2]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_UINT8]"}, "Default/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Cast-op190": {"shape": [[32, 1, 32, 32]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Reshape-op9": {"shape": [[32, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}}, "output": {"Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op22": {"shape": [[10]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op30": {"shape": [[84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op38": {"shape": [[120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op49": {"shape": [[16, 6, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op56": {"shape": [[6, 1, 5, 5]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op25": {"shape": [[10, 84]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op33": {"shape": [[84, 120]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}, "Default/optimizer-Momentum/ApplyMomentum[8]_1/ApplyMomentum-op41": {"shape": [[120, 400]], "edge_type": "data", "independent_layout": false, "data_type": "DT_TENSOR[DT_FLOAT32]"}}, "output_i": 0, "proxy_input": {}, "proxy_output": {}, "subnode_count": 1, "independent_layout": false}]}, "watch_points": []} \ No newline at end of file diff --git a/tests/st/func/debugger/mock_ms_client.py b/tests/st/func/debugger/mock_ms_client.py index c698a9a7..25f51bf7 100644 --- a/tests/st/func/debugger/mock_ms_client.py +++ b/tests/st/func/debugger/mock_ms_client.py @@ -29,7 +29,7 @@ from tests.st.func.debugger.conftest import GRAPH_PROTO_FILE class MockDebuggerClient: """Mocked Debugger client.""" - def __init__(self, hostname='localhost:50051', backend='Ascend', graph_num=1, ms_version='1.1.0'): + def __init__(self, hostname='localhost:50051', backend='Ascend', graph_num=1, ms_version='1.2.0'): channel = grpc.insecure_channel(hostname) self.stub = EventListenerStub(channel) self.flag = True diff --git a/tests/ut/debugger/test_debugger_grpc_server.py b/tests/ut/debugger/test_debugger_grpc_server.py index 295b3735..c503843a 100644 --- a/tests/ut/debugger/test_debugger_grpc_server.py +++ b/tests/ut/debugger/test_debugger_grpc_server.py @@ -211,7 +211,7 @@ class TestDebuggerGrpcServer: def test_send_matadata(self): """Test SendMatadata interface.""" - res = self._server.SendMetadata(MagicMock(training_done=False, ms_version='1.1.0'), MagicMock()) + res = self._server.SendMetadata(MagicMock(training_done=False, ms_version='1.2.0'), MagicMock()) expect_reply = get_ack_reply() expect_reply.version_matched = True assert res == expect_reply