Run 10228736

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 20-06-2019 by Veselin Minev
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads

Issue	#Downvotes for this reason	By

Flow

onnx_ml_pb2.ModelProto.2bd579db(1)	Automatically created ONNX flow.
onnx_ml_pb2.ModelProto.2bd579db(1)_backend	{"irVersion": "3", "opsetImport": [{"version": "7"}]}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_0_batchnorm0_gamma	{"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_gamma"}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_1_batchnorm0_beta	{"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_beta"}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_2_batchnorm0_moving_mean	{"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_moving_mean"}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_3_batchnorm0_moving_var	{"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_moving_var"}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_4_fullyconnected0_weight	{"dataType": "FLOAT", "dims": ["1024", "4"], "name": "fullyconnected0_weight"}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_5_fullyconnected0_bias	{"dataType": "FLOAT", "dims": ["1024"], "name": "fullyconnected0_bias"}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_6_fullyconnected1_weight	{"dataType": "FLOAT", "dims": ["2", "1024"], "name": "fullyconnected1_weight"}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_7_fullyconnected1_bias	{"dataType": "FLOAT", "dims": ["2"], "name": "fullyconnected1_bias"}
onnx_ml_pb2.ModelProto.2bd579db(1)_input_0_data	{"name": "data", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "64"}, {"dimValue": "4"}]}}}}
onnx_ml_pb2.ModelProto.2bd579db(1)_input_1_batchnorm0_gamma	{"name": "batchnorm0_gamma", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "4"}]}}}}
onnx_ml_pb2.ModelProto.2bd579db(1)_input_2_batchnorm0_beta	{"name": "batchnorm0_beta", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "4"}]}}}}
onnx_ml_pb2.ModelProto.2bd579db(1)_input_3_batchnorm0_moving_mean	{"name": "batchnorm0_moving_mean", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "4"}]}}}}
onnx_ml_pb2.ModelProto.2bd579db(1)_input_4_batchnorm0_moving_var	{"name": "batchnorm0_moving_var", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "4"}]}}}}
onnx_ml_pb2.ModelProto.2bd579db(1)_input_5_fullyconnected0_weight	{"name": "fullyconnected0_weight", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "1024"}, {"dimValue": "4"}]}}}}
onnx_ml_pb2.ModelProto.2bd579db(1)_input_6_fullyconnected0_bias	{"name": "fullyconnected0_bias", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "1024"}]}}}}
onnx_ml_pb2.ModelProto.2bd579db(1)_input_7_fullyconnected1_weight	{"name": "fullyconnected1_weight", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "2"}, {"dimValue": "1024"}]}}}}
onnx_ml_pb2.ModelProto.2bd579db(1)_input_8_fullyconnected1_bias	{"name": "fullyconnected1_bias", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "2"}]}}}}
onnx_ml_pb2.ModelProto.2bd579db(1)_name	mxnet_converted_model
onnx_ml_pb2.ModelProto.2bd579db(1)_node_0_batchnorm0	{"attribute": [{"f": 0.0010000000474974513, "name": "epsilon", "type": "FLOAT"}, {"f": 0.8999999761581421, "name": "momentum", "type": "FLOAT"}, {"i": "0", "name": "spatial", "type": "INT"}], "input": ["data", "batchnorm0_gamma", "batchnorm0_beta", "batchnorm0_moving_mean", "batchnorm0_moving_var"], "name": "batchnorm0", "opType": "BatchNormalization", "output": ["batchnorm0"]}
onnx_ml_pb2.ModelProto.2bd579db(1)_node_1_fullyconnected0	{"attribute": [{"f": 1.0, "name": "alpha", "type": "FLOAT"}, {"f": 1.0, "name": "beta", "type": "FLOAT"}, {"i": "0", "name": "transA", "type": "INT"}, {"i": "1", "name": "transB", "type": "INT"}], "input": ["batchnorm0", "fullyconnected0_weight", "fullyconnected0_bias"], "name": "fullyconnected0", "opType": "Gemm", "output": ["fullyconnected0"]}
onnx_ml_pb2.ModelProto.2bd579db(1)_node_2_activation0	{"input": ["fullyconnected0"], "name": "activation0", "opType": "Relu", "output": ["activation0"]}
onnx_ml_pb2.ModelProto.2bd579db(1)_node_3_dropout0	{"attribute": [{"f": 0.4000000059604645, "name": "ratio", "type": "FLOAT"}], "input": ["activation0"], "name": "dropout0", "opType": "Dropout", "output": ["dropout0"]}
onnx_ml_pb2.ModelProto.2bd579db(1)_node_4_fullyconnected1	{"attribute": [{"f": 1.0, "name": "alpha", "type": "FLOAT"}, {"f": 1.0, "name": "beta", "type": "FLOAT"}, {"i": "0", "name": "transA", "type": "INT"}, {"i": "1", "name": "transB", "type": "INT"}], "input": ["dropout0", "fullyconnected1_weight", "fullyconnected1_bias"], "name": "fullyconnected1", "opType": "Gemm", "output": ["fullyconnected1"]}
onnx_ml_pb2.ModelProto.2bd579db(1)_node_5_softmax	{"attribute": [{"i": "1", "name": "axis", "type": "INT"}], "input": ["fullyconnected1"], "name": "softmax", "opType": "Softmax", "output": ["softmax"]}
onnx_ml_pb2.ModelProto.2bd579db(1)_output_0_softmax	{"name": "softmax", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "64"}, {"dimValue": "2"}]}}}}